Neural Network Models

Theory and Projects

By: Philippe de Wilde

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Paperback | 30 May 1997 | Edition Number 2

At a Glance

Paperback
188 Pages

Edition Type
Revised

Dimensions(cm)
24.13 x 16.51 x 1.91

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Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks. Also included are sections on stochastic networks and simulated annealing, presented using Markov processes rather than statistical physics, and a chapter on backpropagation. Each chapter ends with a suggested project designed to help the reader develop an integrated knowledge of the theory, placing it within a practical application domain. Neural Network Models: Theory and Projects concentrates on the essential parameters and results that will enable the reader to design hardware or software implementations of neural networks and to assess critically existing commercial products.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Science Physics Electricity Computer Networking & Communications Engineering & Technology Energy Technology & Engineering Electrical Engineering

Table of contents: Preface
Key concepts in neural networks
Backpropagation
Neurons in the Brain
The Fundamental System of Differential Equations
Synchronous and Discrete Networks
Linear Capacity
Capacity from a Signal to Noise Ratio
Neural Networks and Markov Chains
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Neural Network Models

Theory and Projects

At a Glance

Paperback

Shipping

How to return your order

Defective items

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