Fundamentals of Neural Network: Architectures, Algorithms and Applications


Title:
Fundamentals of Neural Network: Architectures, Algorithms and Applications
Authors:
L. Fausett
Edition:
1st - 1993
Publisher:
Pearson
Pages:
476
Language:
English
ISBN-10
0133341860
ISBN-13
978-0133341867
Format:
PDF, DJVU
Size (MB):
PDF (28), DJVU (3)


Book Description:
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.

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.

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+ comments + 2 comments

5 October 2016 at 01:31

Hi,could you reupload it?

27 December 2016 at 08:36

Updated

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