advanced neural network implementation
artificial
basis
Category=UYQN
computational intelligence
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eq_computing
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function
hidden
hybrid neural systems
layer
multilayer
network
pattern recognition
radial
set
signal processing applications
supervised learning
training
unsupervised algorithms
Product details
- ISBN 9780750303125
- Weight: 4448g
- Dimensions: 210 x 297mm
- Publication Date: 01 Jan 1996
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems.
The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar problems. It is unmatched in the breadth of its coverage and is certain to become the standard reference resource for the neural network community.
Emile Fiesler Research Director, Institut Dalle Molle ^Intelligence Artificielle Perceptive (IDIAP), Martigny, Switzerland, Russell Beale Lecturer in Computer Science, University of Birmingham, United Kingdom.
