Handbook of Neural Computation

Handbook of Neural Computation

Handbook of Neural Computation

Handbook of Neural Computation

eBook

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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 probl

Product Details

ISBN-13: 9780429525605
Publisher: CRC Press
Publication date: 01/15/2020
Sold by: Barnes & Noble
Format: eBook
Pages: 436
File size: 25 MB
Note: This product may take a few minutes to download.

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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