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Neural Network Models : Theory and Projects - Philippe De Wilde

Neural Network Models

Theory and Projects

Paperback Published: 30th May 1997
ISBN: 9783540761297
Number Of Pages: 174

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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. Topics covered include key concepts in neural networks, backpropagation, neurons in models of the brain, synchronous and discrete networks, differential mathematics, linear capacity, capacity from a signal to noise ratio, and neural networks and Markov chains. 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. It is suitable for final year, postgraduate and doctoral students in engineering, computing, applied mathematics, physics and biomedical systems, and will also be of interest to those working in science and industry who wish to obtain a firm grounding in the subject.

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.

ISBN: 9783540761297
ISBN-10: 3540761292
Series: Communications and Control Engineering
Audience: General
Format: Paperback
Language: English
Number Of Pages: 174
Published: 30th May 1997
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: GB
Dimensions (cm): 24.13 x 16.51  x 1.91
Weight (kg): 0.3
Edition Number: 2
Edition Type: Revised