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Scientific Applications of Neural Nets: Proceedings of the 194th W.e. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May 1998
By Manfred L. Ristig (editor), Thomas Lindenau (editor) and John W. Clark (editor)
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Bibliographic Detail
Publisher Springer Verlag
Publication date April 17, 2014
Binding Paperback
Edition Reprint
Book category Adult Non-Fiction
ISBN-13 9783662142356
ISBN-10 366214235X
Dimensions 0 by 6.10 by 9.25 in.
Original list price $99.00
Other format details sci/tech
Summaries and Reviews
Amazon.com description: Product Description: Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students. The pedagogically written review articles range over a variety of fields including astronomy, nuclear physics, experimental particle physics, bioinformatics, linguistics, and information processing.

Editions
Hardcover
Book cover for 9783540657378
 
from Springer Verlag (May 1, 1999)
9783540657378 | details & prices | 288 pages | 6.50 × 9.75 × 0.75 in. | 1.20 lbs | List price $82.95
Paperback
Book cover for 9783662142356
 
The price comparison is for this edition
With John W. Clark (other contributor) | Reprint edition from Springer Verlag (April 17, 2014)
9783662142356 | details & prices | List price $99.00
This edition also contains Scientific Applications of Neural Nets: Proceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11-13 May 1998
About: Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals.

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