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Radial Basis Fuction Networks 1: Recent Developments in Theory and Applications
By Robert J. Howlett (editor) and L. C. Jain (editor)
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Bibliographic Detail
Publisher Physica Verlag
Publication date March 1, 2001
Pages 318
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9783790813678
ISBN-10 3790813672
Dimensions 1 by 6.25 by 9.25 in.
Weight 1.35 lbs.
Published in Europe
Original list price $189.00
Summaries and Reviews
Amazon.com description: Product Description: The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.

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Hardcover
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from Physica Verlag (March 1, 2001)
9783790813678 | details & prices | 318 pages | 6.25 × 9.25 × 1.00 in. | 1.35 lbs | List price $189.00
About: The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications.

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