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Fundamentals of neural networks : architectures, algorithms, and applications / Laurene Fausett.

By: Material type: TextTextPublisher: Englewood Cliffs, NJ : Prentice-Hall, [1994]Copyright date: ©1994. Description: xvi, 461 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0133341860
Subject(s): DDC classification:
  • 20 006.3 F.L.F
LOC classification:
  • QA76.87 .F38 1994
Contents:
Introduction -- Simple Neural Nets for Pattern Classification -- Pattern Association -- Neural Networks Based on Competition -- Adaptive Resonance Theory -- Backpropagation Neural Net -- A Sampler of Other Neural Nets.
Summary: Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.
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Includes bibliographical references (p. 437-447) and index.

Introduction --
Simple Neural Nets for Pattern Classification --
Pattern Association --
Neural Networks Based on Competition --
Adaptive Resonance Theory --
Backpropagation Neural Net --
A Sampler of Other Neural Nets.

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

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