Handbook of Neural Computation
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.
1120988479
Handbook of Neural Computation
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.
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Handbook of Neural Computation

Handbook of Neural Computation

Handbook of Neural Computation

Handbook of Neural Computation

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Overview

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.

Product Details

ISBN-13: 9780750303125
Publisher: Taylor & Francis
Publication date: 01/01/1996
Series: Computational Intelligence Library
Pages: 436
Product dimensions: 8.25(w) x 11.69(h) x (d)

About the Author

Emile Fiesler Research Director, Institut Dalle Molle ^Intelligence Artificielle Perceptive (IDIAP), Martigny, Switzerland, Russell Beale Lecturer in Computer Science, University of Birmingham, United Kingdom.

Table of Contents

Foreword by James A Anderson. Part A: Introduction. Part B: Fundamental concepts of neural computation. Part C: Neural network models. Part D: Hybrid models. Part E: Neural network implementations. Part F: Neural network applications. Part G: Neural networks in practice. Part H: Directions for future research. Part X: Appendices.

What People are Saying About This

John Taylor

Let me congratulate you on an excellent book - it will be of great value to the community of neural network researchers, and I find it invaluable.

H. John Caulfield

A wonderful concept well implemented in its initial stage, this handbook is both a place to start in neural networks and a place to grow with this dynamic field. I look forward to future additions of the same high quality and readability.

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