Fundamentals Of Neural Networks Architectures Algorithms & Applications

Author:

Laurene Fausett

Publisher:

Pearson Education India

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Publisher

Pearson Education India

Publication Year 2004
ISBN-13

9788131700532

ISBN-10 8131700534
Binding

Paperback

Number of Pages 480 Pages
Language (English)
Dimensions (Cms) 25.4 x 20.3 x 4.7
Weight (grms) 523
An exceptionally clear, thorough introduction to neural networks written 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. For Sale in Indian subcontinent only 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. 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

Laurene Fausett

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