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Tables of Contents for Ijcnn 2000
Chapter/Section Title
Page #
Page Count
Message From the Conference Chairpersons
xxxiii
 
Conference Organizers
xxxiv
 
VOLUME I
Session MA4: Plenary Talk
Information Geometrical Methods for Neural Networks
i
 
Shun-ichi Amari
Session MB1: Supervised Learning I
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors
3
6
M. Ishikawa
H. Shimada
S. Amari
Bias Learning, Knowledge Sharing
9
6
J. Ghosn
Y. Bengio
Incremental Active Learning with Bias Reduction
15
6
M. Sugiyama
H. Ogawa
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation
21
6
G. D. Magoulas
V. P. Plagianakos
M. N. Vrahatis
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm
27
8
M. Muselli
Session MB2: Special Session on ``Global Brain''
A General Framework for the Functions of the Brain
35
6
J. G. Taylor
The Frontal Lobes and Executive Function
41
6
J. G. Taylor
N. R. Taylor
R. Bapi
G. Bugmann
D. Levine
A Modular Neural System for Machine Cognition
47
6
P. O. A. Haikonen
Session MB3: System Identification I
Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks
53
5
I. Petrovic
M. Baotic
N. Peric
A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function
58
6
M. Pinzolas
J. J. Ibarrola
J. Lopez
Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks
64
6
C. Kambhampati
F. Garces
K. Warwick
Approximation of Hammerstein/Wiener Dynamic Models
70
5
A. Balestrino
A. Caiti
Modelling Unstable Behavior of a Natural Circulation Loop with a Neural Network
75
10
A. Fichera
G. Muscato
M. G. Xibilia
A. Pagano
Session MB4: Panel on ``Blind Signal Separation and Independent Component Analysis with Neural Networks''
Session MB6: Classification I
Classification of Helical Structures
85
5
S. Singh
Boundary Region Sensitive Classification for the Counterpropagation Neural Network
90
5
L. Kovacs
G. Terstyanszky
Focus of Attention in a Neural Network Using Meta Knowledge
95
5
D. L. Hudson
M. E. Cohen
Target Adaptation to Improve the Performance of Least-Squared Classifiers
100
6
K. M. Adeney
M. J. Korenberg
The K-Winner Machine Model
106
8
S. Ridella
S. Rovetta
R. Zunino
Session MB7: Multilayer Perceptrons I
Overfitting and Neural Networks: Conjugate Gradient and Backpropagation
114
6
S. Lawrence
C. L. Giles
Overlapped Multi-Neural-Network: A Case Study
120
6
J. Hu
K. Hirasawa
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks
126
6
N. Ampazis
S. Perantonis
Global Optimization Algorithms for Training Product Unit Neural Networks
132
6
A. Ismail
A. P. Engelbrecht
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates
138
8
S. J. Perantonis
N. Ampazis
S. Spirou
Session MB8: Image Processing I
Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging Systems
146
6
A. Hirose
K. Hiramatsu
Segmentation of Partially Occluded Objects by Local Classification
152
6
G. Heidemann
D. Lucke
H. Ritter
Segmentation of Virus-Infected Areas in Retinal Angiograms Using a Learning-by-Sample Approach
158
5
D. Brahmi
C. Serruys
N. Cassoux
A. Giron
P. Lehoang
B. Fertil
Optimizing Ship Length Estimates from ISAR Images
163
6
F. E. McFadden
S. A. Musman
Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach
169
8
N. Vlajic
H. C. Card
T. Kunz
Session MD4: Plenary Talk
Towards Understanding Images of the Mind
177
8
John G. Taylor
Session ME1: Supervised Learning II
A Weight Evolution Algorithm with Deterministic Perturbation
185
6
S.-C. Ng
S.-H. Leung
A. Luk
On the Combination of Weight-Decay and Input Selection Methods
191
6
M. Fernandez-Redondo
C. Hernandez-Espinosa
Conditional Information Analysis
197
6
R. Kamimura
Selective Information Acquisition with Application to Pattern Classification
203
8
R. Kamimura
Session ME2: Neurobiology
A Three-dimensional Physiologically Realistic Model of the Retina
211
6
M. Tadross
C. Whitehouse
M. Hornstein
V. Eng
E. Micheli-Tzanakou
A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation
217
5
K. Shimokawa
S. Muraki
Network Capacity for Latent Attractor Computation
222
6
S. Doboli
A. A. Minai
Orientation Map: A Reaction-Diffusion Based Model
228
6
B. Bhaumik
C. M. Markan
A Gustatory Information-Processing Model for the Evaluation of Taste Preference
234
8
K. Oguri
T. Sugimoto
A. Iwata
Session ME3: Non-Linear Control I
Min Max Control of Nonlinear Systems Using Universal Learning Networks
242
6
H. Chen
K. Hirasawa
J. Hu
J. Murata
Stability and Performance Robustness Issues in Neural Network Feedback Linearization
248
6
D. Obradovic
Methods to Design Robust Controllers against Nonlinear and Multiple Uncertainties by Use of Neural Networks
254
6
H. Nakanishi
K. Inoue
Robust Control in Closed Loops Realised by Fast Signal Transmission of Infinite Gain Neurons
260
6
J. J. Steil
Intelligent Fault Tolerant Control Using Artifical Neural Networks
266
11
G. G. Yen
L.-W. Ho
Session ME4: Panel on ``Does Connectionism Permit Reading of Rules from a Network?''
Session ME6: Special Session on ``Neural Networks and Geometry''
Comparison of Rates of Linear and Neural Network Approximation
277
6
V. Kurkova
M. Sanguineti
On Dimension-Independent Approximation by Neural Networks and Linear Approximators
283
6
S. Giulini
M. Sanguineti
Should Activation Functions Be Affinely Recursive?
289
4
A. Vogt
Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries
293
6
R. Neruda
Convex Geometry and Nonlinear Approximation
299
6
P. C. Kainen
Session ME7: Multilayer Perceptrons II
Continuous Optimization of Hyper-Parameters
305
6
Y. Bengio
Gradient Descent in Feed-Forward Networks with Binary Neurons
311
6
M. Costa
D. Palmisano
E. Pasero
On MCMC Sampling in Bayesian MLP Neural Networks
317
6
A. Vehtari
S. Sarkka
J. Lampinen
Technique of Learning Rate Estimation for Efficient Training of MLP
323
8
V. Golovko
Y. Savitsky
T. Laopoulos
A. Sachenko
L. Grandinetti
Session ME8: Medical Applications I
Analysis of fMRI Time Series with Mixtures of Gaussians
331
5
V. Sanguineti
C. Parodi
S. Perissinotto
F. Frisone
P. Vitali
P. Morasso
G. Rodriguez
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques
336
6
D. A. Karras
M. Reczko
B. G. Mertzios
D. Graveron-Demilly
D. Van Ormondt
Identification of Masses in Digital Mammograms with MLP and RBF Nets
342
6
K. Bovis
S. Singh
J. Fieldsend
C. Pinder
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding
348
6
T. W. Nattkemper
H. Wersing
W. Schubert
H. Ritter
A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography
354
9
F. Behloul
M. Janier
B. P. F. Lelieveldt
J. H. C. Reiber
Author Index
363
 
VOLUME II
Session TA4: Plenary Talk
Self-Organizing Maps of Massive Document Collections
3
10
Teuvo Kohonen
Session TB1: Statistical Frameworks for Learning
Stochastic Resonance Neural Network and Its Performance
13
5
T. Nobori
N. Matsui
Bayesian Field Theory: Nonparametric Approaches to Density Estimation
18
5
J. C. Lemm
Large Margin Classifier via Semiparametric Inference
23
6
K. Tsuda
S. Akaho
Parallel Non Linear Dichotomizers
29
8
F. Masulli
G. Valentini
Session TB2: Neurocognition I
Pattern Recognition with Eye Movement: A Neural Network Model
37
4
M. Kikuchi
K. Fukushima
A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent
41
8
J. P. Banquet
P. Gaussier
A. Revel
Y. Burnod
Session TB3: Hardware Implementation I
A Full-Parallel Digital Implementation for Pre-Trained NNs
49
6
T. Szabo
L. Antoni
G. Horvath
B. Feher
FPGA Architecture Comparison for Non-Conventional Signal Processing
55
4
D. Franco
L. Carro
Building a 2D-Compatible Multilayer Neural Network
59
6
B. Girau
Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit
65
6
Y. Hirai
K. Nishizawa
Pulse Mode Multilayer Neural Network with Floating Point Operation and On-Chip Learning
71
10
H. Hikawa
Session TB4: Panel on ``Neural Networks for Intelligent Control and Perspectives''
Session TB6: Special Session on ``From Subsymbolic Neural Network Representations to Symbols''
A Theory of the Brain: There Are Parts of the Brain That Control Other Parts
81
6
A. Roy
A General Framework for Symbol and Rule Extraction in Neural Networks
87
6
B. Apolloni
C. Orovas
J. Taylor
W. Fellenz
S. Gielen
M. Westerdijk
On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System
93
6
W. A. Fellenz
J. G. Taylor
R. Cowie
E. Douglas-Cowie
F. Piat
S. Kollias
C. Orovas
B. Apolloni
Constructing Symbols as Manipulable Structures by Recurrent Networks
99
6
J. G. Taylor
N. R. Taylor
B. Apolloni
C. Orovas
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners
105
8
R. Sun
Session TB7: Multilayer Perceptrons III
The Inefficiency of Batch Training for Large Training Sets
113
5
D. R. Wilson
T. R. Martinez
Tree-Structured Neural Networks: Efficient Evaluation of Higher-Order Derivatives and Integrals
118
5
A. P. Heinz
Backpropagation Algorithm for Logic Oriented Neural Networks
123
6
T. Kamio
S. Tanaka
M. Morisue
A Hyperbolic Multilayer Perceptron
129
8
S. Buchholz
G. Sommer
Session TB8: Pattern Recognition I
Spreading Associative Neural Network Recognizes the Shape and Position of an Object Simultaneously
137
6
K. Nakamura
N. Kinoshita
H. Kanayama
T. Minami
Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro Currency
143
5
F. Takeda
T. Nishikage
A Neural Network Approach to Hyphenating Norwegian
148
6
T. Kristensen
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
154
5
J. Lahtinen
T. Martinsen
J. Lampinen
Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm
159
4
M. Castellano
G. Mastronardi
V. Bevilacqua
E. Nappi
Session TD4: Plenary Talk
Searching the Web: Fundamental Limitations, Artificial Intelligence, and Future Directions
163
4
Steve Lawrence
Session TE1: Supervised Learning III
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
167
6
E. Mizutani
S. E. Dreyfus
K. Nishio
Training Feedforward Neural Networks Using Orthogonal Iteration of the Hessian Eigenvectors
173
6
A. Hunter
Effective Learning in Noisy Environment Using Neural Network Ensemble
179
6
P. Hartono
S. Hashimoto
Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchial Feed Forward Architectures
185
6
F. Diotalevi
M. Valle
D. D. Caviglia
Analyzing Learning Dynamics: How to Average?
191
8
C. Goerick
Session TE2: Neurocognition II
Unfaithful Population Decoding
199
6
S. Wu
D. Chen
S. Amari
The Hidden Layer Associative Memory Model of Hippocampus
205
6
W. A. Fellenz
J. G. Taylor
Frequency-Based Error Back-Propagation in a Cortical Network
211
6
R. Bogacz
M. W. Brown
C. Giraud-Carrier
Is There More to TSSG than Associative Chaining (Chunking and All That)?
217
8
N.R. Taylor
J.G. Taylor
Session TE3: Time Series Prediction I
Time Series Prediction by a Neural Network Model Based on the Bi-directional Computation Style
225
6
H. Wakuya
J. M. Zurada
Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks
231
6
H. Inoue
H. Narihisa
Input Windows Size and Neural Network Predictors
237
6
R. J. Frank
N. Davey
S. P. Hunt
On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals
243
10
C. L. Fancourt
J. C. Principe
Session TE4: Panel on ``Neural Network Applications and Implementations''
Session TE6: Symbolic and Sub-Symbolic Computation I
Complex Preferences for the Integration of Neural Codes
253
6
C. Panchev
S. Wermter
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
259
6
A. Paccanaro
G. E. Hinton
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition
265
6
P. Tino
M. Stancik
L. Benuskova
Refining Hidden Markov Models with Recurrent Neural Networks
271
8
T. Wessels
C. W. Omlin
Session TE8: Pattern Recognition II
A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data
279
6
R. Kretzschmar
N. B. Karayiannis
H. Richner
On the Performance of the HONG Network for Pattern Classification
285
6
A. S. Atukorale
P.N. Suganthan
T. Downs
Incorporating a priori Knowledge into Initialized Weights for Neural Classifier
291
6
Z. Chen
T.-J. Feng
Z. Houkes
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analysing Colour Images
297
6
A. Verikas
K. Malmqvist
M. Bacauskiene
Author Index
303
366
VOLUME III
Session WA1: Recurrent Networks I
Bi-Causal Recurrent Cascade Correlation
3
6
A. Micheli
D. Sons
A. Sperduti
Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories
9
6
P. Zegers
M. K. Sundareshan
Improved Learning of Multiple Continuous Trajectories with Initial Network State
15
6
M. Galicki
L. Leistritz
H. Witte
Weight Groupings in the Training of Recurrent Networks
21
6
L.-W. Chan
C.-C. Szeto
A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks
27
8
R. Bone
M. Crucianu
G. Verley
J. -P. Asselin de Beauville
Session WA2: Special Session on ``Techniques to Improve Human Understanding of Complex Neural Systems''
Category Theory Applied to Neural Modeling and Graphical Representations
35
6
M. J. Healy
Realtime Visualization of the Learning Processes in the LAPART Neural Architecture as it Controls a Simulated Autonomous Vehicle
41
6
K. M. Edlund
T. P. Caudell
The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data
47
6
A. Agogino
J. Ghosh
S. J. Perantonis
V. Virvilis
S. Petridis
P. J. G. Lisboa
Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica
53
8
K.G. Haines
B.A. Pearlmutter
J.A. Moya
K. Edlund
T.P. Caudell
Session WA3: Special Session on ``Adaptive Critic Design I''
New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain
61
6
P.J. Werbos
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
67
6
Z. Huang
S.N. Balakrishnan
Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle
73
6
G.G. Lendaris
L. Schultz
T. Shannon
The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-From Solution
79
6
D. Wunsch
Session WA6: Function Approximation I
Improving the Generalization Capability of the Binary CMAC
85
6
T. Szabo
G. Horvath
A ``Recruiting Neural-Gas'' for Function Approximation
91
6
M. Aupetit
P. Couturier
P. Massotte
Universal Learning Networks with Branch Control
97
6
K. Hirasawa
J. Hu
Q. Xiong
J. Murata
Y. Shiraishi
Learning Heterogeneous Functions from Sparse and Non-Uniform Samples
103
6
D. Pokrajac
Z. Obradovic
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures
109
6
N. J. Pizzi
W. Pedrycz
Session WA7: Spiking Neural Networks I
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition
115
6
C. Christodoulou
T. G. Clarkson
G. Bugmann
J. G. Taylor
Neurophysiology of a VLSI Spiking Neural Network: LANN21
121
6
S. Fusi
P. Del Giudice
D. J. Amit
On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh Neurons
127
8
M. Guler
C. Ergun
Session WA8: Pattern Recognition III
Recognition of Occluded Patterns: A Neural Network Model
135
4
K. Fukushima
Natural Object Classification Using Artificial Neural Networks
139
6
S. Singh
M. Markou
J. Haddon
Classification of the Italian Liras Using the LVQ Method
145
4
T. Kosaka
S. Omatu
Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms
149
6
Z. Pan
A. G. Rust
H. Bolouri
Unsupervised Learning of Neural Network Ensembles for Image Classification
155
8
G. Giacinto
F. Roli
G. Fumera
Session WB1: Unsupervised Learning I
On-Line EM Reinforcement Learning
163
6
J. Yoshimoto
S. Ishii
M. Sato
Competing Hidden Markov Models on the Self-Organizing Map
169
6
P. Somervuo
Recognition and Geometrical On-Line Learning Algorithm of Probability Distributions
175
6
T. Aida
An Adaptable Boolean Neural Network Performing Specific Sequence Learning
181
8
F. E. Lauria
R. Prevete
M. Milo
Session WB2: Learning and Memory
Recurrent Nets That Time and Count
189
6
F. A. Gers
J. Schmidhuber
On the Properties of Time Trajectories Learned by the Cerebellar Cortex
195
6
A. Garenne
P. Chauvet
G. A. Chauvet
Short Term Memory Phenomena in an Autosynaptic Neuron
201
6
A. Herrera
J. L. Perez
R. Prieto
A. Padron
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
207
6
G.de A. Barreto
A. F. R. Araujo
Trading Off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian Task
213
8
B. Bakker
G. van der Voort van der Kleij
Session WB3: Special Session on ``Adaptive Critic Design II''
On-Line Learning Control by Association and Reinforcement
221
6
J. Si
Y.-T. Wang
An Estimate of the Number of Samples to Convergence for Critic Algorithms
227
6
T. Hrycej
Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator
233
8
G. K. Venayagamoorthy
R. G. Harley
D. C. Wunsch II
Session WB6: Function Approximation II
Gaussian Process Regression: Active Data Selection and Test Point Rejection
241
6
S. Seo
M. Wallat
T. Graepel
K. Obermayer
Neural Network Based on QBP and Its Performance
247
6
N. Matsui
N. Kouda
H. Nishimura
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm
253
6
K. Nakayama
A. Hirano
A. Kanbe
Piecewise Linear Homeomorphisms: The Scalar Case
259
6
R. E. Groff
D. E. Koditschek
P. P. Khargonekar
Dynamic Programming with ARMA, Markov, and NARMA Models vs. Q-Learning: Case Study
265
8
J. Chrobak
A. Pacut
A. Karbowski
Session WB7: Spiking Neural Networks II
A Learning Algorithm for Improved Pattern Synchronization in Networks with Biologically Motivated Neurons
273
6
J. Teichert
R. Malaka
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
279
6
S. M. Bohte
J. N. Kok
H. La Poutre
An Unsupervised Learning Rule for the Pulsed Neuron Model: The Vector Quantization of the Auditory Temporal Signals
285
6
S. Kuroyanagi
A. Iwata
Pulse-Coupled Networks of Non-Autonomous Integrate-and-Fire Oscillators and Classification Functions
291
5
H. Torikai
T. Saito
EPGA Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation
296
9
Y. Maeda
T. Tada
Session WB8: Face Recognition
Network Ensembles for Facial Analysis Tasks
305
6
S. Gutta
H. Wechsler
Neural Net with Adaptive Activation Functions for Face Recognition
311
4
A. Talukder
D. Casasent
Neuro-Based Human-Face Recognition with 2-Dimensional Discrete Walsh Transform
315
5
M. Yoshida
T. Kamio
H. Asai
Fast Modular Neural Nets for Human Face Detection
320
7
H. M. El-Bakry
M. A. Abo-Elsoud
M. S. Kamel
Session WC1: Blind Signal Separation
A Constraint Learning Algorithm for Blind Source Separation
327
6
K. Nakayama
A. Hirano
M. Nitta
Low Complexity Adaptive Non-Linear Function for Blind Signal Separation
333
6
A. Pierani
F. Piazza
M. Solazzi
A. Uncini
Blind Source Separation Using a Matrix Pencil
339
4
A. M. Tome
Stiefel-Grassman Flow (SGF) Learning: Further Results
343
8
S. Fiori
Session WC2: Independent Component Analysis I
α-EM Algorithm and α-ICA Learning Based upon Extended Logarithmic Information Measures
351
6
Y. Matsuyama
T. Niimoto
N. Katsumata
Y. Suzuki
S. Furukawa
ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm
357
6
E. Bingham
A. Hyvarinen
Unsupervised Rank-Deficient Density Estimation via Multi-Class Independent Component Analysis
363
6
F. Palmieri
A. Budillon
Feature Extraction from Colour and Stereo Images Using ICA
369
8
P. O. Hoyer
A. Hyvarinen
Session WC3: Principal Component Analysis
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
377
4
C.-H. Oh
H. Komatsu
K. Honda
H. Ichihashi
Kernel Factor Analysis with Varimax Rotation
381
6
D. Charles
C. Fyfe
Convergence Analysis of Online Linear Discriminant Analysis
387
5
K. Hiraoka
S. Yoshizawa
K. Hidai
M. Hamahira
H. Mizoguchi
T. Mishima
Improved -APEX Algorithm for Digital Image Compression
392
9
S. Fiori
S. Costa
P. Burrascano
Session WC4: Rule Extraction
A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks
401
6
Z.-H. Zhou
S.-F. Chen
Z.-Q. Chen
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network
407
6
E. R. Hruschka
N. F. F. Ebecken
A New Rule Generation Method from Neural Networks Formed Using a Genetic Algorithm with Virus Infection
413
6
M. Fukumi
Y. Mitsukura
N. Akamatsu
Rule Extraction from a Multi Layer Perceptron with Staircase Activation Functions
419
6
G. Bologna
Using Graphs to Analyze High-Dimensional Classifiers
425
8
O. Melnik
J. Pollack
Session WC5: Symbolic and Sub-Symbolic Computation II
Meaning Spotting and Robustness of Recurrent Networks
433
6
S. Wermter
C. Panchev
G. Arevian
Encoding of Probabilistic Automata into RAM-Based Neural Networks
439
6
M. C. P. de Souto
T. B. Ludermir
M. A. Campos
What Inductive Bias Gives Good Neural Network Training Performance?
445
6
S. Snyders
C. W. Omlin
On-Line Connectionist Q-Learning Produces Unreliable Performance with a Synonym Finding Task
451
8
I. Johnson
M. Plumbley
Session WC6: Multilayer Perceptors IV
Exact Representations from Feed-Forward Networks
459
6
O. Melnik
J. Pollack
Justification of a Neuron-Adaptive Activation Function
465
6
S. Xu
M. Zhang
Artificial Neural Networks with Adaptive Multidimensional Spline Activation Functions
471
6
M. Solazzi
A. Uncini
Taxonomy of Neural Transfer Functions
477
8
W. Duch
N. Jankowski
Session WC7: Hardware Implementation II
CMOS PWM VLSI Implementation of Neural Network
485
4
L. Chen
B. Shi
An Analog Vision Chip Applicable to Real-Time Image Processings in Indoor Illumination
489
5
S. Kameda
T. Yagi
An Analog-Digital Hybrid CMOS Circuit for Two-Dimensional Motion Detection with Correlation Neural Networks
494
6
T. Asai
M. Koutani
Y. Amemiya
Design Method of Limit Cycle Generator by Hysteresis Neural Networks
500
6
T. Yoneyama
H. Ninomiya
H. Asai
Digital Hardware Implementation of 2D Compatible Neural Networks
506
9
B. Girau
Session WC8: Hardware Implementation III
A Fault-Value Injection Approach for Multiple-Weight-Fault Tolerance of MNNs
515
6
I. Takanami
M. Sato
Y. P. Yang
Evaluation Function for Fault Tolerant Multi-Layer Neural Networks
521
6
H. Takase
T. Shinogi
T. Hayashi
H. Kita
Fault Tolerance in the Learning Algorithm of Radial Basis Function Networks
527
8
X. Parra
A. Catala
Session WC9: Hardware Implementation IV
A Methodology for Example-Based Specification and Design
535
8
C. Alippi
S. Ferrari
V. Piuri
Session WC10: Classification II
A Training Method with Small Computation for Classification
543
6
K. Hara
K. Nakayama
Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids
549
6
K. Kawaratani
S. Abe
Training Three-Layer Neural Network Classifiers by Solving Inequalities
555
6
N. Tsuchiya
S. Ozawa
S. Abe
Reliability Control in Committee Classifier Environment
561
5
V. Radevski
Y. Bennani
Multistep Sequential Exploration of Growing Bayesian Classification Models
566
9
G. Paass
J. Kindermann
Session WC11: Clustering I
Parallel Clustering on a Commodity Supercomputer
575
6
G. Patane
M. Russo
Automatic Category Generation for Text Documents by Self-Organizing Maps
581
6
H.-C. Yang
C.-H. Lee
A SOM Based Cluster Visualization and Its Application for False Coloring
587
6
J. Himberg
A Categorization Methodology for the Analysis of the Mortality Rate in Psychiatric Hospitals
593
8
A. Ballarin
S. Gervasi
F. Giancarli
F. Cecere
Session WC12: Radial Basis Function Networks I
Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network
601
7
N. Zheng
Z. Zhang
H. Zheng
S. Gang
Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms
608
6
N. B. Karayiannis
M. M. Randolph-Gips
New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks
614
6
N. B. Karayiannis
An Easily Calculated Bound on Condition for Orthogonal Algorithms
620
7
K. M. Adeney
M. J. Korenberg
Session WC13: Medical Applications II
Using Hidden Markov Models to Build and Automatic, Continuous and Probabilistic Sleep Stager
627
5
A. Flexer
P. Sykacek
I. Rezek
G. Dorffner
Local Neural Classifier for EEG-Based Recognition of Mental Tasks
632
5
J. del R. Millan
J. Mourino
F. Babiloni
F. Cincotti
M. Varsta
J. Heikkonen
Classification of Cardiotocographic Records by Neural Networks
637
5
G. Magenes
M. G. Signorini
D. Arduini
Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks
642
9
O. A. Alim
H. Farag
Session WC14: Medical Applications III
Study of Site-Specific Bone Formation Using a Neural Network Model
651
4
L. Y. Mi
M. Basu
S. Fritton
S. Cowin
Detecting False Benign in Breast Cancer Diagnosis
655
4
Z. R. Yang
W. Lu
D. Yu
R. G. Harrison
Neural Network Based Systems for Prostate Cancer Stage Prediction
659
4
H. Zhang
Z. Zhang
A. W. Partin
Multilayer Perceptrons Can Predict Cognitive Status During Recovery from Chronic Substance Misuse: Implications for Individualized Treatment Planning
663
6
F. R. Funderburk
K. I. Bolla
J.-L. Cadet
Author Index
669
 
VOLUME IV
Session WD1: Clustering II
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States
3
6
Y. Cheung
L. Xu
Parameter Specification for Fuzzy Clustering by Q-Learing
9
4
C.-H. Oh
E. Ikeda
K. Honda
H. Ichihashi
A Model-Based Distance for Clustering
13
4
M. Rattray
Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks
17
6
A. S. Henriques
A. F. R. Araujo
S. Morato
On Learning Mean Values in Hopfield Associative Memories Trained with Noisy Examples Using the Hebb Rule
23
8
B. Cernuschi-Frias
E. C. Segura
Session WD2: Special Session on ``Noisy Chaotic Neural Networks for Information Storage and Retrieval''
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations
31
6
P. J. Werbos
Noisy Chaotic Neural Networks for Solving Combinatorial Optimization Problems
37
4
L. Wang
F. Tian
Neural Computations by Networks of Oscillators
41
6
F. Hoppensteadt
E. Izhikevich
Session WD3: Hardware Implementation V
Circuit Realization of a Programmable Neuron Transfer Function and Its Derivative
47
4
C. Lu
B. Shi
NESP2: A Low Power Analog NEural Signal Processor with Analog Weight Storage
51
6
M. Costa
D. Palmisano
E. Pasero
A Programmable Neural-Fuzzy Processor for Handwritten Digit Classification
57
5
G. Li
B. Shi
Programmable Kernel Analog VLSI Convolution Chip for Real Time Vision Processing
62
4
T. Serrano-Gotarredona
B. Linares-Barranco
A. G. Andreou
An On-Chip Learning Neural Network
66
9
G. M. Bo
D. D. Caviglia
M. Valle
Session WD6: Independent Component Analysis II
Independent Component Analysis Using Time Delayed Sampling
75
4
M. Yoshioka
S. Omatu
Multiplicative Newton-Like Algorithm and Independent Component Analysis
79
4
T. Akuzawa
Topographic ICA as a Model of V1 Receptive Fields
83
6
A. Hyvarinen
P. Hoyer
M. Inki
ICA for Noisy Neurobiological Data
89
8
S. Ikeda
K. Toyama
Session WD7: Medical Applications IV
Quality Assured Efficient Engineering of Feedforward Neural Networks with Supervised Learning (QUEEN) Evaluated with the ``Pima Indians Diabetes Database''
97
6
T. Waschulzik
W. Brauer
T. Castedello
B. Henery
A Clustering Method of Chromosome Fluorescence Profiles Using Modified Self Organizing Map Controlled by Simulated Annealing
103
4
H. Douzono
S. Hara
Y. Noguchi
An Application of Artificial Neural Networks in Ovarian Cancer Early Detection
107
6
Z. Zhang
H. Zhang
R. C. Bast, Jr.
Identifying Health Inequalities Using Artificial Neural Networks (WHO Data)
113
6
Z. R. Yang
R. G. Harrison
W. Lu
Health Care Customer Satisfaction Survey Analysis Using Self-Organizing Maps and ``Exponentially Smeared'' Data Vectors
119
8
S. B. Garavaglia
Session WD8: Vision I
The Separability of Visual Sensitivity into Spatial Frequency and Motion Velocity Based on Properties of Natural Images
127
6
D. W. Dong
Camera-Based Gesture Recognition for Robot Control
133
6
A. Corradini
H.-M. Gross
Parametrized SOMs for Hand Posture Reconstruction
139
6
C. Nolker
H. Ritter
A Pre-Attentive Neural System for the Analysis of Nuclear Physics Experimental Data
145
8
M. Alderighi
P. Guazzoni
S. Russo
G. R. Sechi
L. Zetta
Session WE1: Learnability
The Basic Diffusion Model Neuron Cannot Learn
153
6
A. Pacut
Emergence of Learning: An Approach to Coping with NP-Compelete Problems in Learning
159
6
B.-L. Lu
M. Ichikawa
VC Dimension Bounds for Product Unit Networks
165
6
M. Schmitt
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning
171
6
M. Kinjo
S. Sato
K. Nakajima
Session WE2: Special Session on ``Multiclass Support Vector Machines''
Generalization Performance of Multiclass Discriminant Models
177
6
H. Paugam-Moisy
A. Elisseeff
Y. Guermeur
A New Multi-Class SVM Based on a Uniform Convergence Result
183
6
Y. Guermeur
A. Elisseeff
H. Paugam-Moisy
People Recognition and Pose Estimation in Image Sequences
189
8
C. Nakajima
M. Pontil
T. Poggio
Session WE3: Hardware Implementation VI
Analog Hardware Implementation of the Random Neural Network Model
197
5
H. Abdelbaki
E. Gelenbe
S. E. El-Khamy
A 1.5V VLSI Circuit for the Co-Channel Signal Separation
202
6
T. Ndjountche
R. Unbehauen
F.-L. Luo
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
208
6
G. Indiveri
Compact VLSI Neural Network Circuit with High-Capacity Dynamic Synapses
214
5
Y. Park
J.-S. Liaw
B. J. Sheu
T. W. Berger
A VLSI Architecture for Weight Perturbation on Chip Learning Implementation
219
8
F. Diotalevi
M. Valle
G. M. Bo
D. D. Caviglia
Session WE6: Radial Basis Function Networks II
Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks
227
5
Y. Ito
Simultaneous Approximation with Neural Networks
232
6
A. T. Dingankar
D. S. Phatak
A Probabilistic RBF Network for Classification
238
6
M. Titsias
A. Likas
Sensitivity Analysis for Conic Section Function Neural Networks
244
9
L. Ozyilmaz
T. Yildirim
Session WE7: Medical Applications V
Diagnosis of Vocal and Voice Disorders by the Speech Signal
253
6
C. Hernandez-Espinosa
M. Fernandez-Redondo
P. Gomez-Vilda
J. I. Godino-Llorente
S. Aguilera-Navarro
Self-Organizing Maps in Adaptive Health Monitoring
259
8
S. Tamminen
S. Pirttikangas
J. Roning
Session WE8: Motion Analysis
An Oscillatory Correlation Model of Human Motion Perception
267
6
E. Cesmeli
D. T. Lindsey
D. L. Wang
Coarse-to-Fine Object Tracking Using a Shape Representation Network with Continuous Parameters Determining Shape Details
273
6
Y. Matsuzawa
I. Kumazawa
Reconstructing Optical Flow Generated by Camera Rotation via Autoassociative Learing
279
5
T. Takahashi
T. Kurita
ARO: A Neural Network to Investigate a Time-Delayed Imposed Organization on First-Order and Second-Order Visual Stimuli at the Early Vision
284
6
H. Navabi
Building Artificial CPGS with Asymmetric Hopfield Networks
290
9
F. M. G. Franca
Z. Yang
Session WF1: Non-Linear Control II
Neural Networks for Contrained Optimal Control of Non-Linear Ssystems
299
6
E. Irigoyen
J. B. Galvan
M. J. Perez-IIzarbe
Neural Network Based Feedforward Adapter for Batch Process Control
305
6
B. Ling
A Neural Network Controller for a Discrete-Time Nonlinear Non-Minimum Phase System
311
6
H. A. Talebi
R. V. Patel
K. Khorasani
Predictive Multiple Model Switching Control with the Self-Organizing Map
317
8
M. A. Motter
Session WF2: Non-Linear Control III
A Training Rule Which Guarantees Finite-Region Stability of Neural Network Closed-Loop Control: An Extension to Nonhermitian Systems
325
6
R. Ekachaiworasin
S. Kuntanapreeda
Continuous Optimal Controllers Using Hierarchical Mixtures of Experts
331
6
V. Paraskevopoulos
M. I. Heywood
C. R. Chatwin
An Indirect Adaptive Neural Control of Nonlinear Plants
337
8
I. Baruch
J. M. F. Albino
R. Garrido
E. Gortcheva
Session WF3: Non-Linear Control IV
Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID
345
4
T. Fujinaka
Y. Kishida
M. Yoshioka
S. Omatu
Neural Network Algorithm Controlling a Hexapod Platform
349
4
C. Pernechele
F. Bortoletto
E. Giro
Developing Smart Micromachined Transducers Using Feed-Forward Neural Networks: A System Identification and Control Perspective
353
6
E. I. Gaura
R. J. Rider
N. Steele
Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer
359
6
C. Manzie
M. Palaniswami
H. Watson
ANNs and GAs for Predictive Controlling of Water Supply Networks
365
8
M. Damas
M. Salmeron
J. Ortega
Session WF4: System Identification II
NEURO-BRA: A Bird Removal Approach for Wind Profiler Data Based on Quantum Neural Networks
373
6
R. Kretzschmar
N. B. Karayiannis
H. Richner
Bragg Curve Identification Using a Neural Network
379
4
J. J. Vega
M. R. Reynoso
M. A. Estrada
L. A. Robles
Goal-Directed Property of On-Line Direct Inverse Modeling
383
6
E. Oyama
T. Maeda
S. Tachi
A Modular Neural Network for Global Modeling of Microwave Transistors
389
6
M. Lazaro
I. Santamaria
C. Pantaleon
C. Navarro
A. Tazon
T. Fernandez
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization
395
8
A. Mediavilla
A. Tazon
J. A. Pereda
M. Lazaro
I. Santamaria
C. Pantaleon
Session WF5: Time Series Prediction II
Octane Number Prediction in a Reforming Plant
403
5
E. Chibaro
S. Fichera
G. Muscato
A Neural Network Approach to Predict Existing and Infill Oil Well Performance
408
6
L. Yang
Z. He
J. Yen
C. Wu
Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast
414
6
H. S. Hippert
C. E. Pedreira
R. C. Souza
Application of Feedfoward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces
420
9
A. R. Sadeghian
J. D. Lavers
Session WF6: Time Series Prediction III
Fog Forecasting Using Self Growing Neural Network ``CombNET-II:'' A Solution for Imbalanced Training Sets Problem
429
6
A. S. Nugroho
S. Kuroyanagi
A. Iwata
Neural Network for Travel Demand Forecast Using GIS and Remote Sensing
435
6
A. Dantas
K. Yamamoto
M. V. Lamar
Y. Yamashita
Sensor Errors Prediction Using Neural Networks
441
8
A. Sachenko
V. Kochan
V. Turchenko
V. Golovko
J. Savitsky
A. Dunets
T. Laopoulos
Session WF7: Time Series Prediction IV
A New Radial Basis Function Networks Structure: Application to Time Series Prediction
449
6
I. Rojas
H. Pomares
J. Gonzalez
E. Ros
M. Salmeron
J. Ortega
A. Prieto
Bayesian Training of Mixture Density Networks
455
6
L. U. Hjorth
I. T. Nabney
Neural Network and Time Series Identification and Prediction
461
6
Z. Neji
F.-M. Beji
Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network
467
5
T. Aoyama
H. Zhu
I. Yoshihara
Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification
472
7
X. Yu
L. Xu
Session WF8: Spiking Neural Networks III
Two Sites of Synaptic Integration: Relevant for Learning?
479
6
K. Kording
P. Konig
Analogue Circuits of a Learning Spiking Neuron Model
485
5
N. Langlois
P. Miche
A. Bensrhair
Simulation of a Digital Neuro-Chip for Spiking Neural Networks
490
9
T. Schoenauer
S. Atasoy
N. Mehrtash
H. Klar
Session WF9: Supervised Learning IV
Neuro-Wavelet Parametric Modeling
499
6
V. Colla
L. M. Reyneri
M. Sgarbi
Bagging Down-Weights Leverage Points
505
6
Y. Grandvalet
Regularization Learning and Early Stopping in Linear Networks
511
6
K. Hagiwara
K. Kuno
A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate
517
6
J. J. F. Cerqueira
A. G. B. Palhares
M. K. Madrid
On-Line Expansion of Goal Seeking Neuron Networks
523
6
W. Martins
C. Galvao Pinheiro, Jr.
Session WF10: Supervised Learning V
Generating New Patterns for Information Gain and Improved Neural Network Learning
529
6
H. L. Viktor
Neural-Gas for Function Approximation: A Heuristic for Minimizing the Local Estimation Error
535
4
M. Winter
G. Metta
G. Sandini
Adding Reinforcement Learning Features to the Neural-Gas Method
539
4
W. Winter
G. Metta
G. Sandini
A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks
543
6
M. Fernandez-Redondo
C. Hernandez-Espinosa
Building MLP Networks by Construction
549
8
A. C. Tsoi
M. Hagenbuchner
A. Micheli
Session WF11: Recurrent Networks II
Neural Processing of Complex Continual Input Streams
557
6
F. A. Gers
J. Schmidhuber
An Extended RTRL Training Algorithm Using Hessian Matrix
563
6
P. H. G. Coelho
A General Approach to Gradient Based Learning in Multirate Systems and Neural Networks
569
8
F. Rosati
P. Campolucci
F. Piazza
Session WF12: Recurrent Networks III
Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks
577
6
A. Aussem
Estimation of the Training Efficiency of Recurrent Neural Networks
583
6
P. Sun
K. Marko
Recurrent Neural Network Model of a Fed-Batch Saccharomyces cerevisiae Fermentation Process
589
8
J. Barrera-Cortes
I. Baruch
Session WF13: Unsupervised Learning II
Dynamics of the Generalised Lotto-Type Competitive Learning
597
5
A. Luk
S. Lien
Self-Creating and Organizing Neural Networks with Weight Duplication
602
6
M. Iwasaki
T. Hashiyama
S. Okuma
Structured Models from Structured Data: Emergence of Modular Information Processing withing One Sheet of Neurons
608
6
C. Weber
K. Obermayer
Kernel and Nonlinear Canonical Correlation Analysis
614
7
P. L. Lai
C. Fyfe
Author Index
621
38
VOLUME V
Session HA1: Fuzzy Neural Systems I
Fuzzy Neural Network with Relational Fuzzy Rules
3
5
A. E. Gaweda
J. M. Zurada
Optimization of Hierarchical Neural Fuzzy Models
8
6
R. J. G. B. Campello
W. C. Amaral
A Self-Organizing Neural Fuzzy Inference Network
14
6
G. Castellano
A. M. Fanelli
A Self-Organizing Feature-Map-Based Fuzzy System
20
6
M.-C. Su
C.-Y. Tew
Fuzzy Clustering Neural Network for Classification of ECG Beats
26
7
S. Osowski
T. H. Linh
Session HA2: Neurodynamics and Chaos I
Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains
33
6
R. Kozma
W. J. Freeman
Neuron Weight Dynamics in the SOM and Self-Organized Criticality
39
6
J. A. Flanagan
Basic Dynamics from a Pulse-Coupled Network of Autonomous Integrate-and-Fire Chaotic Circuits
45
5
H. Nakano
T. Satio
Synaptic Depression in Associative Memory Networks
50
9
D. Bibitchkov
J. M. Herrmann
T. Geisel
Session HA3: Special Session on ``Non Destructive Testing and Evaluation: Applications of Artificial Neural Networks''
ICA-NN Based Data Fusion Approach in ECT Signal Restoration
59
6
G. Simone
F. C. Morabito
A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion
65
6
S. Fiori
P. Burrascano
Hierarchical Rule Based Classification of MFL Signals Obtained from Natural Gas Pipeline Inspection
71
8
J.-Y. Lee
M. Afzal
S. Udpa
L. Udpa
P. Massopust
Session HA6: Special Session on ``Hybrid Systems for Automatic Speech Recognition''
Probabilistic Neural Network Models for Sequential Data
79
6
Y. Bengio
Hybrid HMM-NN Architectures for Connected Digit Recognition
85
6
P. Cosi
Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Network and Adaptive Filtering
91
6
N. Kasabov
G. Iliev
The Regularized SNN-TA Model for Recognition of Noisy Speech
97
6
E. Trentin
M. Matassoni
CSELT Hybrid HMM/Neural Networks Technology for Continuous Speech Recognition
103
8
R.Gemello
D. Albesano
F. Mana
Session HA7: Special Session on ``Soft Computing for Financial Enginering''
Utlization of Neural Networks & GAs for Constructing Reliable Decision Support Systems to Deal Stocks
111
6
N. Baba
N. Inoue
H. Asakawa
Towards an Artificial Technical Analysis of Financial Markets
117
6
M. Resta
Active Forgetting in Machine Learning and Its Application to Financial Problems
123
6
H. Nakayama
K. Yoshii
Nonstationarity and Data Preprocessing for Neural Network Predictions of an Economic Time Series
129
8
F. Virili
B. Freisleben
Session HA8: Robotics I
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
137
6
J. Walter
B. Arnrich
C. Scheering
Improving Hallway Navigation in Mobile Robots with Sensor Habituation
143
5
C. Chang
Reduction of Dimensionality for Perceptual Clustering
148
4
C. Benitez
D. K. Lander
J. Ramirez
Long Distance Telerobotics in Hostile Environment
152
9
B. Apolloni
A. Moise
Session HB1: Evolutionary Computation I
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights
161
6
V. P. Plagianakos
M. N. Vrahatis
Parallel Evolutionary Algorithms with SOM-Like Migration and Its Application to VLSI-Design
167
6
T. Villmann
R. Haupt
K. Hering
Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms
173
5
H. Kajisha
T. Saito
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
178
9
Y. Mitsukura
M. Fukumi
N. Akamatsu
Session HB2: Support Vector Machines I
A Neural Support Vector Network Architecture with Adaptive Kernels
187
6
P. Vincent
Y. Bengio
Support Vectors Selection by Linear Programming
193
6
V. Kecman
I. Hadzic
Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments
199
6
A. Chalimourda
B. Scholkopf
A. J. Smola
Support Vector Machines Based on a Semantic Kernel for Text Categorization
205
5
G. Siolas
F. D'Alche-Buc
Fast Training of Support Vector Machines for Regression
210
7
D. Anguita
A. Boni
S. Pace
Session HB3: Fault Diagnosis and Defect Identification I
Using Neural Networks for Fault Diagnosis
217
4
J.-Z. He
Z.-H. Zhou
X.-R. Yin
S.-F. Chen
RNN Based Photo-Resist Shape Reconstruction from Scanning Electron Microscopy
221
6
E. Gelenbe
R. Wang
RBFNN-Based Hole Identification System in Conducting Plates
227
6
G. Simone
F. C. Morabito
A Neural Network Approach to the Inspection of Ball Grid Array Solder Joints on Printed Circuit Boards
233
6
K. W. Ko
Y. J. Roh
H. S. Cho
H. C. Kim
On Line Monitoring of Weld Defects for Short-Circuit Gas Metal Arc Welding Based on the Self-Organize Feature Map Neural Networks
239
8
L. Di
S. Yonglun
Y. Feng
Session HB6: Speech Processing I
Capture Inter-Speaker Information with a Neural Network for Speaker Identification
247
6
L. Wang
K. Chen
H. Chi
Comparison of Text-Dependent Speaker Identification Methods for Short Distance Telephone Lines Using Artificial Neural Networks
253
6
G. K. Venayagamoorthy
N. Sundepersadh
Phoneme Recognition with Staged Neural Networks
259
6
F. Arciniegas
M. J. Embrechts
Multi-Source Neural Networks for Speech Recognition: A Review of Recent Results
265
6
R. Gemello
D. Albesano
F. Mana
L. Moisa
Improving the Robustness of Noisy MFCC Features Using Minimal Recurrent Neural Networks
271
8
I. Potamitis
N. Fakotakis
G. Kokkinakis
Session HB7: Economics and Finance I
An Application of Independent Component Analysis in the Arbitrage Pricing Theory
279
6
F. Yip
L. Xu
Logit Demand Function with Embedded Neural Network Based Utility Function
285
6
W. Eggert
T. Hrycej
Time Dependent Directional Profit Model for Financial Time Series Forecasting
291
6
J. Yao
C. L. Tan
An Empirical Evidence of the Financial Performance of Lean Production Adoption: A Self-Organizing Neural Networks Approach
297
6
R. Biscontri
K. Park
Application of Feature Extractive Algorithm to Bankruptcy Prediction
303
8
C. Charalambous
A. Charitou
F. Kaourou
Session HB8: Robotics II
A Neural Networks Controller for a Single-Link Flexible Manipulator Based on the Inverse Dynamics Structure
311
6
Z. Su
K. Khorasani
Coordinate Transformation Learning of Hand Position Feedback Controller Based on Disturbance Noise and Feedback Error Signal
317
6
E. Oyama
T. Maeda
S. Tachi
An Incremental Growing Neural Network and Its Application to Robot Control
323
6
A. Carlevarino
R. Martinotti
G. Metta
G. Sandini
PD Control of Robot with RBF Networks Compensation
329
8
W. Yu
J. A. Heredia
Session HC1: Communications I
Novel Use of Channel Information in a Neural Convolutional Decoder
337
6
A. Hamalainen
J. Henriksson
DBNN, FDNN, Discriminative Learning, and Back-Propagation Neural Networks in DS/CDMA Systems
343
5
M. G. Shayesteh
H. Amindavar
Multi-User Detector with an Ability of Channel Estimation Using a RBF Network in an MC-CDMA System
348
6
K. Ko
S. Choi
D. Hong
Chaos Generators for CDMA Communication Using Neural Networks
354
7
W. Citko
A. Luksza
W. Sienko
Session HC2: Communications II
Performance Comparison among Neural Decision Feedback Equalizers
361
5
E. D. Di Claudio
R. Parisi
G. Orlandi
Equalization Using the Bilinear Recursive Polynomial Perceptron with Decision Feedback
366
6
S.Choi
D. Hong
Communication Channel Equalisation Using Complex-Valued Minimal Radial Basis Function Neural Network
372
6
D. Jianping
N. Sundararajan
P. Saratchandran
A Hybrid Structured Neural Network Receiver in Digital Communication Systems
378
9
S. Choi
D. Hong
Session HC3: Communications III
A Connectionist Approach for Evaluating the Complexity of Interaction in the World Wide Web: The Case of News Groups
387
5
L. Lancieri
Queueing Network Modelling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Networks
392
6
A. Aussem
A. Mahul
R. Marie
A Hopfield Neural Network Flow Classifier in IP Switching
398
7
L. Li
Z. Liu
Z. Zhou
Session HC4: Communication IV
Applying CMAC-based On-Line Learning to Intrusion Detection
405
6
J. Cannady
A Computer Host-Based User Anomaly Detection System Using the Self-Organizing Map
411
6
A. J. Hoglund
K. Hatonen
A. S. Sorvari
Neural Network Model with Delay toward Encryption
417
8
T. Ohira
Session HC5: Vision II
Processing of Movement Information in the Early Stages of the Visual System
425
6
S. D. Wilke
A. Thiel
C. W. Eurich
A Dynamic Cortical Amplifier Model for Fast Information Processing
431
5
L. Schwabe
P. Adorjan
K. Obermayer
Fast and Robust Prediction of Optical Flow Field Sequences for Visuomotor Anticipation
436
6
V. Stephan
T. Winkler
H.-M. Gross
Synchrony and Asynchrony of Coincident Spikes of Neural Populations Depending on Line Drawings
442
4
K. Murakoshi
K. Nakamura
First-Order and Multi-Stage First-Order Image Subsampling Using a FANN-Based Pattern Matching Method
446
9
A. Dumitras
Session HC6: Vision III
The Generation of Vestibular Nystagmus: A Neural Network Approach
455
5
S. Ramat
G. Magenes
R. Schmid
D. Zambarbieri
Selective and Delayed Adaptations of Human Saccades
460
4
M. Fujita
A. Amagai
F. Minakawa
Competitive Hopfield Neural Network for Stereo Vision Correspondence
464
9
R. Mayoral
M. J. Perez-Ilzarbe
Session HC7: Image Processing II
Mesh Construction with Fast Soft Vector Quantisation
473
6
N. A. Borghese
S. Ferrari
A Simplified ICA Based Denoising Method
479
4
Q. Zhang
H. Yin
N. M. Allinson
Merging the Transform Step and the Quantization Step for Karhunen-Loeve Transform Based Image Compression
483
6
M. Breazu
B. J. Beggs
G. Toderean
I. P. Mihu
Medical Image Compression by ``Neural-Gas'' Network and Principal Component Analysis
489
5
A. Meyer-Baese
A Neural Network Approach for Visual Cryptography
494
9
T.-W. Yue
S. Chiang
Session HC8: Image Processing III
Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems
503
6
J. Aguilar
V. Rossell
A Hybrid System for Signature Verification
509
6
T. Wessels
C. W. Omlin
A Hybrid Handwritten Word Recognition Using Self-Organizing Feature Map, Discrete HMM, and Evolutionary Programming
515
6
M. Dehghan
K. Faez
M. Ahmadi
Recognition of Seed Varieties Using Neural Networks Analysis of Electrophoretic Images
521
8
M. Jedra
N. El Khattabi
M. Limouri
A. Essaid
Session HC9: Adaptive Resonance Theory Networks I
Adaptive BAM for Pattern Classification
529
6
F. J. Lopez-Aligue
I. Alvarez Troncoso
I. Acevedo Sotoca
C. J. Garcia Orellana
M. Macias Macias
H. Gonzalez Velasco
Repeated Game Analysis on ART Adaptive Categorization Game
535
6
W. Fung
Y. Liu
A Modified Search Procedure for the ART Neural Networks
541
6
E. P. Sapozhnikova
V. P. Lunin
Session HC10: Data Analysis I
Metrics That Learn Relevance
547
6
S. Kaski
J. Sinkkonen
A Neural Network Learning Relative Distances
553
6
A. Ultsch
Identification of Feature-Salience
559
6
W. Wang
P. Janes
D. Partridge
The d Parameter to Characterise Chaotic Dynamics
565
8
A. Bonasera
M. Bucolo
L. Fortuna
A. Rizzo
Session HC11: Associative Memory I
Adaptive Learning Rule for Binary Couplings Networks
573
6
N. Hendrich
Knowledge Processing System Using Improved Chaotic Associative Memory
579
6
Y. Osana
M. Hagiwara
RAAM for Infinite Context-Free Languages
585
6
O. Melnik
S. Levy
J. Pollack
An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach
591
6
V. J. Hodge
J. Austin
Small-World Model of Associative Memory
597
8
J. W. Bohland
A. A. Minai
Session HC12: Associative Memory II
Recurrent Autoassociative Networks and Holistic Computations
605
6
I. Stoianov
Fixed Points of Autoassociative Morphological Memories
611
6
P. Sussner
A Novel Neural Architecture with High Storage Capacity
617
5
C.-C. Wang
C.-F. Tsai
Convergence Time in Hopfield Network
622
5
A. A. Frolov
D. Husek
Functional Representation of Recalling Process and Memory Capacity in Associative Memory
627
8
Y. Kumagai
Session HC13: Neurocognition III
Artificial Consciousness Algorithm for an Autonomous System
635
6
J. L. Johnson
H. J. Caulfield
J. R. Taylor
Knowledge-Based Cascade-Correlation
641
6
T. R. Shultz
F. Rivest
Neuro-Architecture-Motivated ANNs and Cortical Parcellation
647
12
J. G. Wallace
K. Bluff
A Mean Field Approach to MAP in Belief Network
659
1
Y. Peng
M. Jin
Author Index
659
 
VOLUME VI
Session HD1: Self-Organizing Maps I
ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams
3
6
D. Deng
N. Kasabov
EM Algorithms for Self-Organizing Maps
9
6
T. Heskes
J.-J. Spanjers
W. Wiegerinck
The Growing Hierarchical Self-Organizing Map
15
5
M. Dittenbach
D. Merkl
A. Rauber
Context Quantization and Contextual Self-Organizing Maps
20
6
T. Voegtlin
Self-Organization in the SOM and Lebesque Continuity of the Input Distribution
26
9
J. A. Flanagan
Session HD2: Adaptive Resonance Theory Networks II
Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network
35
6
E. Granger
M. A. Rubin
S. Grossberg
P. Lavoie
Hierarchical ARTMAP
S. J. Verzi
G. L. Heileman
41
6
M. Georgiopoulos
M. J. Healy
MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP
47
6
E. Gomez Sanchez
Y. A. Dimitriadis
J. M. Cano Izquierdo
J. Lopez Coronado
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
53
6
D. Charalampidis
M. Georgiopoulos
T. Kasparis
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning
59
8
G. C. Anagnostopoulos
M. Georgiopoulos
Session HD3: Manufacturing
Surface Identification Using Angle Resolved Light Scatter Measurements
67
6
T. Rinder
H. Rothe
Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study
73
8
W. Maydl
B. Sick
Session HD6: Speech Processing II
A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition
81
6
R. M. Kil
Y.-I. Kim
G. H. Lee
Speaker Adaptation Based on Judge Network with Small Adaptation Words
87
4
J.-H. Jeong
S.-Y. Lee
Self-Organizing Semantic Maps of Japanese Nouns in Terms of Adnominal Constituents
91
6
Q. Ma
K. Kanzaki
M. Murata
M. Utiyama
K. Uchimoto
H. Isahara
Text Independent Speaker Verification Using Modular Neural Network
97
8
I.-T. Um
J.-J. Won
M.-H. Kim
Session HD7: Communications V
A Reconfigurable Neural Environment on Active Networks
105
4
A. Chella
G. Di Fatta
G. Favaro
D. Guarino
G. Lo Re
Neural Network in Fast Simulation Modelling
109
5
E. Liu
L. Cuthbert
J. Schormans
G. Stoneley
Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources
114
6
A. D. Doulamis
N. D. Doulamis
S. D. Kollias
Intelligent Call Transfer Based on Reinforcement Learning
120
7
D. Jevtic
D. Sablic
Session HD8: Special Session on ``Artificial Neural Networks for Mobile Robots''
Control of Chaotic Behaviour with ANN
127
4
A. d'Anjou
F. J. Torrealdea
C. Sarasola
Increased Robustness in Visual Processing with SOM-Based Filtering
131
4
E. Fernandez
I. Echave
M. Grana
Robust Visual Recognition with High-Order Gaussian Synapses Networks
135
5
J. L. Crespo
J. Santos
R. J. Duro
Morphological Neural Networks for Robust Visual Processing in Mobile Robotics
140
4
B. Raducanu
M. Grana
Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots
144
9
F. Bellas
J. a. Becerra
J. Santos
R. J. Duro
Session HE1: Self-Organizing Maps II
Structure Formation in Visual Cortex Based on a Curved Feature Space
153
6
N. Mayer
J. M. Herrmann
T. Geisel
Assessing Self-Organization Using Order Metrics
159
6
A. P. Azcarraga
Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing Maps
165
6
G. Guimaraes
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
171
6
M.-C. Su
C.-H. Chou
H.-T. Chang
parsom: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis
177
8
A. Rauber
P. Tomsich
D. Merkl
Session HE2: Identification III
Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning
185
6
A. N. de Souza
I. N. da Silva
M. E. Bordon
Soft Computing Techniques for Modeling Geophysical Data
191
6
G. Nunnari
L. Bertucco
Data Interpolation Using Kohonen Networks
197
6
O. Sarzeaud
Y. Stephan
Using Neural Networks for Estimation of Aquifer Dynamical Behavior
203
5
I. N. da Silva
N. J. Saggioro
J. A. Cagnon
A Comparison Study between Artificial Neural Networks and AR-Models, Applied to Norwegian Inflow Time Series
208
9
I. Schjolberg
Session HE3: Power Systems
A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion Process
217
6
V. Stephan
K. Debes
H.-M. Gross
F. Wintrich
H. Wintrich
Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis
223
6
A. J. C. Sharkey
G. O. Chandroth
N. e. Sharkey
Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting
229
6
W. Bartkiewicz
Uncertainty of the Short-Term Electrical Load Forecasting in Utilities
235
6
W. Bartkiewicz
Z. Gontar
J. S. Zielinski
W. Bardzki
A Hierarchical Neural Model in Short-Term Load Forecasting
241
8
O. A. S. Carpinteiro
A. P. A. da Silva
C. H. L. Feichas
Session HE6: Signal Processing
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network
249
4
M. Teranishi
S. Omatu
T. Kosaka
A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification
253
6
F. Acernese
F. Barone
A. Eleuteri
F. Garufi
L. Milano
R. Tagliaferri
An Array Feed Radial basis Function Tracking System for NASA's Deep Space Network Antennas
259
6
R. Mukai
P. Arabshahi
V. A. Vilnrotter
Classifying Emitters in the High Frequency Range with Self-Organizing Maps
265
5
K. Fanghanel
K. Kollmann
F. Raps
H. C. Zeidler
A New Method for Tracking Modulations in Tonal Music in Audio Data Format
270
9
H. Purwins
B. Blankertz
K. Obermayer
Session HE7: Data Analysis II
Bayesian Neural Network for Fermentation Control
279
6
F. Vivarelli
R. Serra
E. Agagliati
A. Malcangi
R. Muraca
The GeTLS EXIN Neuron for Linear Regression
285
5
G. Cirrincione
M. Cirrincione
S. Van Huffel
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
290
6
X. Q. Li
I. King
A Classification Scheme for Applications with Ambiguous Data
296
6
T. P. Trappenberg
A. D. Back
Empirical Modeling of Very Large Data Sets Using Neural Networks
302
9
A. J. Owens
Session HE8: Robotics III
Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks
311
6
N. Kubota
Y. Nojima
F. Kojima
T. Fukuda
Pose Classification Using Support Vector Machines
317
6
E. Ardizzone
A. Chella
R. Pirrone
Time Series Segmentation Using an Adaptive Resource Allocating Vector Quantization Network Based on Change Detection
323
6
F. Linaker
L. Niklasson
Back-Propagation Learning in Real Autonomous Mobile Robot Using Proximal and Distal Evaluation of Behaviour
329
5
H. Akita
M. M. Islam
T. Matumoto
K. Murase
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment
334
9
C. Silva
M. Crisostomo
B. Ribeiro
Session HF1: Economics and Finance II
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks
343
5
L. Lokmic
K. A. Smith
Support Vector Machine for Regression and Applications to Financial Forecasting
348
6
T. B. Trafalis
H. Ince
Selecting Bankruptcy Predictors Using a Support Vector Machine Approach
354
6
A. Fan
M. Palaniswami
Testing the Predictability of the Cyprus Stock Exchange: The Case of an Emerging Market
360
9
A. S. Andreou
C. C. Neocleous
C. N. Schizas
C. Toumpouris
Session HF2: Fault Diagnosis and Defect Identification II
Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems
369
6
S. F. Hiebert
R. B. Chinnam
Neural Networks for Novelty Detection in Airframe Strain Data
375
6
S. J. Hickinbotham
J. Austin
Non-Destructive Test by the Hopfield Network
381
8
S. Barcherini
L. Cipiccia
M. Maggi
S. Fiori
P. Burrascano
Session HF3: Support Vector Machines II
Geometric Neural Networks and Support Multi-Vector Machines
389
6
E. Bayro-Corrochano
R. Vallejo
A New Approach of Modifying SVM Outputs
395
4
A. Madevska-Bogdanova
D. Nikolic
Optimisation on Support Vector Machines
399
6
J. P. Pedroso
N. Murata
Towards an Incremental SVM for Regression
405
6
M. Carozza
S. Rampone
Neural Network Realization of Support Vector Methods for Pattern Classification
411
8
Y. Tan
Y. Xia
J. Wang
Session HF4: Neurodynamics and Chaos II
Randomly Connected Neural Networks Displaying 1/f Spectra
419
4
H. Suyari
Y. Kamitani
I. Matsuba
Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing
423
6
E. Del Moral Hernandez
Study of a Sequence of Neural Oscillators
429
5
R. Prieto M.
A. A. Herrera B.
J. L. Perez S.
A. Padron G.
Dynamical Analysis of an Oscillatory Cortical Neural Network
434
9
W. A. Truccolo
M. Ding
S. L. Bressler
Session HF5: Network Optimization
Neural Network Pruning for Function Approximation
443
6
R. Setiono
A. Gaweda
A New Method to Prune the Neural Network
449
6
W. Wan
K. Hirasawa
J. Hu
C. Jin
Input-Side Training in Constructive Neural Networks Based on Error Scaling and Pruning
455
6
L. Ma
K. Khorasani
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario
461
6
K. Hagiwara
K. Kuno
S. Usui
An Algorithm for Automatic Design of Two Hidden Layered Artificial Neural Networks
467
8
M. M. Islam
M. Shahjahan
K. Murase
Session HF6: Applications to Optimization I
Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems
475
5
F. Tian
L. Wang
Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization
480
6
S. Matsuda
Solving Nonlinear Optimization Problems Using Networks of Spiking Neurons
486
6
R. Malaka
S. Buck
A Recurrent Neural Network for Solving Nonlinear Projection Equations
492
6
Y. Xia
J. Wang
Rescaling the Energy Function in Hopfield Networks
498
7
X. Zeng
T. R. Martinez
Session HF7: Applications to Optimization II
A New Deterministic Annealing Algorithm for Maximum Clique
505
4
A. Jagota
M. Pelillo
A. Rangarajan
A Modified Hopfield Model for Solving the N-Queens Problem
509
6
I. N. da Silva
A. N. de Souza
M. E. Bordon
Neural Global Router
515
6
P. Alti
B. Bhaumik
Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique
521
8
G. Feng
C. Douligeris
Session HF8: Fuzzy Neural Systems II
Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions
529
6
H. Kubota
H. Tamaki
S. Abe
An Enhanced Fuzzy Neuron Controller for Curved Search Neural Network Learning
535
6
P. Wu
S.-C. Fang
H. L. W. Nuttle
A Recursive Algorithm for Fuzzy Min-Max Networks
541
6
A. Rizzi
M. Panella
F. M. Frattale Mascioli
G. Martinelli
Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron
547
4
N. J. Pizzi
What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems?
551
8
I. Rojas
J. L. Bernier
M. Rodriguez-Alvarez
A. Prieto
Session HF9: Evolutionary Computation II
GA-Based Supervised Learning of Neocognitron
559
6
D. Shi
C. L. Tan
Utilization of Artificial Neural Networks and GAs for Constructing an Intelligent Sales Prediction System
565
6
N. Baba
H. Suto
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
571
6
M. J. Embrechts
D. Devogelaere
M. Rijckaert
Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata
577
8
F. Corno
M. Sonza Reorda
G. Squillero
Session HF10: Evolutionary Computation III
Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network Evolution
585
6
M. M. Islam
H. Akita
M. Shahjahan
K. Murase
Evolving Neural Network Structures Using Axonal Growth Mechanisms
591
5
P. Eggenberger
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons
596
4
M. Grzenda
B. Macukow
Adaptive RBF Classifier for Object Recognition in Image Sequences
600
6
P. W. Pachowicz
S. W. Baik
Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain
606
7
H. de Garis
M. Korkin
P. Guttikonda
D. Cooley
Session HF11: Evolutionary Computation IV
Classification and Function Approximation Using Feed-Forward Shunting Inhibitory Artificial Neural Networks
613
6
A. Bouzerdoum
Fast Learning for Problem Classes Using Knowledge Based Network Initialization
619
6
M. Husken
C. Goerick
Switching Dynamics of Multi-agent Systems: Soap Froths Paradigm
625
4
W. K. F. Lor
K. Y. Szeto
Computational Intelligence in Adaptive Educational Hypermedia
629
8
K. A. Papanikolaou
G. D. Magoulas
M. Grigoriadou
Session HF12: Robotics IV
Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot
637
5
A. Billard
A. J. Ijspeert
A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated Salamander
642
7
A. J. Ijspeert
Author Index
649