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Fundamentals Of Neural Networks
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ISBN
:
9788131700532
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Publisher
:
Pearson
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Subject
:
Computer Science
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Binding
:
Paperback
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Pages
:
480
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Year
:
1994
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839.0
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687.0
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Description
An exceptionally clear, thorough introduction to neural networkswritten at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understudy with many examples. Key Features Covers all major neural networks. shows architectures in a similar format for all nets illustrating the similarities and differences among them. Clarifies the differences in the capabilities of the different networks by focusing on simple problems in many cases variations of a theme. Presents algorithms in enough detail to facilitate the writing of computer programs. Gives detailed examples of simple applications. Provides mathematical development when it provides a guide to proper implementation of a net. Includes exercises and 25 computer projects. Table of 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
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