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Fundamentals of Neural Networks: Architectures, Algorithms and Applications

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Fundamentals of Neural Networks: Architectures, Algorithms and Applications Cover

 

Synopses & Reviews

Publisher Comments:

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.

Description:

Includes bibliographical references (p. 437-447) and index.

Table of Contents

 1. Introduction.

 2. Simple Neural Nets for Pattern Classification.

 3. Pattern Association.

 4. Neural Networks Based on Competition.

 5. Adaptive Resonance Theory.

 6. Backpropagation Neural Net.

 7. A Sampler of Other Neural Nets.

Glossary.

References.

Index.

Product Details

ISBN:
9780133341867
Author:
Fausett, Laurene V.
Publisher:
Pearson
Author:
Cram101 Textbook Reviews
Location:
Englewood Cliffs, NJ :
Subject:
Networking - General
Subject:
Artificial Intelligence
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Artificial Intelligence - General
Subject:
Engineering / Electrical
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Subject:
Education-General
Copyright:
Edition Description:
Trade paper
Series Volume:
1090.
Publication Date:
December 1993
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Yes
Pages:
461
Dimensions:
9 x 7 x 1 in 757 gr

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Related Subjects

Computers and Internet » Artificial Intelligence » Fuzzy Logic
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Networking » General

Fundamentals of Neural Networks: Architectures, Algorithms and Applications New Trade Paper
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$112.50 In Stock
Product details 461 pages Prentice Hall - English 9780133341867 Reviews:
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