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Digital Neural Networks

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Digital Neural Networks


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  • offers fundamental and structured explorations of various learning neural networks.
  • provides extensive treatments on numerical computing and parallel processing.
  • explores the three most important aspects of the ANN research: application, algorithm, and architecture.
  • uses unified notations and unified model representations with cross-references between chapters.


  • Copyright 1993
  • Dimensions: 7" x 9-1/4"
  • Pages: 400
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-612326-0
  • ISBN-13: 978-0-13-612326-2

Covering the fundamental theory and practical implementation of various neural models, this text provides a coherent exploration and a well structured presentation of the three most important aspects of the neural networks: application, algorithm, and architecture. KEY TOPICS: It offers working knowledge of the various neural models, the fundamental theoretical basis, the potential application domains, and the basic implementation issues. MARKET: Electrical Engineers, Computer Engineers and Computer Scientists will find this text invaluable.

Sample Content

Table of Contents

 1. Overview.

 2. Neural Networks for Representation.

 3. Unsupervised Networks for Association/Classification.

 4. Supervised Networks for Classification.

 5. Neural Networks for Generalization/Restoration.

 6. Neural Net and Conventional Optimization Techniques.

 7. Special-Purpose Supercomputers for Neural Nets.


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