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Fundamentals of Neural Networks: Architectures, Algorithms and Applications, 1/e


Fundamentals of Neural Networks: Architectures, Algorithms and Applications, 1/e
Author(s)  Laurene V. Fausett
ISBN  9788131700532
Imprint  Pearson Education
Copyright  1994
Pages  480
Binding  Paperback
List Price  Rs. 1090.00
  
 
 

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.
  • Contents
  • Features
  • Downloadable Resources


  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
 


  • 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.
 
Instructor Resources
 


 
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