Digital Neural Networks
Author:   S.Y. Kung
Publisher:   Pearson Education (US)
Edition:   United States ed
ISBN:  

9780136123262


Pages:   400
Publication Date:   01 April 1993
Format:   Paperback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Digital Neural Networks


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Overview

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. It offers working knowledge of the various neural models, the fundamental theoretical basis, the potential application domains and the basic implementation issues.

Full Product Details

Author:   S.Y. Kung
Publisher:   Pearson Education (US)
Imprint:   Prentice Hall
Edition:   United States ed
Dimensions:   Width: 18.00cm , Height: 2.20cm , Length: 24.20cm
Weight:   0.820kg
ISBN:  

9780136123262


ISBN 10:   0136123260
Pages:   400
Publication Date:   01 April 1993
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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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