Neural Network Principles
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Neural Network Principles

Neural Network Principles


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About the Book

This text presents basic ideas of neural networks (theory, design and principles) in mathematical form - using models of biological systems as springboards to a broad range of applications. The book outlines the structure of the human brain, explains the physics of neurons and derives the standard neuron state equations - then presents the consequences of these mathematical models. It also: derives a set of simple networks that can filter, recall, switch, amplify and recognise input signals; discusses properties of general interconnected neuron groups; applies the theory to synthesize artificial neural networks for special tasks; outlines the design of machine vision systems; explores motor control of the human brain and presents two examples of artificial hand-eye systems; shows how to solve large systems of interconnected neurons; considers control and modulationin the human brain/mind - with insights for a new understanding of many mental illnesses; and discusses some philosophical issues - especially consciousness from a neural network view. This text is intended for use on undergraduate and graduate level courses in neural networks in departments of electrical engineering, computer science and psychology.

Table of Contents:
Neuron physics and state equations; simple networks; complex networks; vision systems; hand-eye systems; advanced design methods; brain control and modulation systems; philosophical implications.


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Product Details
  • ISBN-13: 9780131121942
  • Publisher: Pearson Education Limited
  • Publisher Imprint: Prentice-Hall
  • Height: 235 mm
  • Width: 180 mm
  • ISBN-10: 0131121944
  • Publisher Date: /01/1994
  • Binding: Paperback
  • Weight: 300 gr


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