Introduction To Neural Networks Using Matlab 6.0 PB (Paperback)

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Introduction To Neural Networks Using Matlab 6.0 PB Book Description

Key Features

  • Application of Neural Networks to areas like Bioinformatics, Robotics, Communication, Image Processing, Pattern Recognition, Controls, Security, Healthcare, Business, etc.
  • Simulated result obtained for the neural computing techniques using MATLAB.
  • A chapter on Special Networks.
  • Projects related to pattern classification, system identification using differnent networks, all with MATLAB programs.
  • Over 325 illustrations

Table Of Contents
  • Chapter 1 Introduction to Neural Networks
  • Chapter 2 Introduction to Artificial Neural Networks
  • Chapter 3 Fundamental Models of Artificial Neural Networks
  • Chapter 4 Perceptron Networks
  • Chapter 5 Adaline and Madaline Networks
  • Chapter 6 Associative Memory Networks
  • Chapter 7 Feedback Networks
  • Chapter 8 Feed Forward Networks
  • Chapter 9 Self Organizing Feature Map
  • Chapter 10 Counter Propagation Network
  • Chapter 11 Adaptive Resonance Theory
  • Chapter 12 Special Networks
  • Chapter 13 Applications of Neural Networks
  • Chapter 14 Applications of Special Networks
  • Chapter 15 Neural Network Projects with MATLAB
  • Chapter 16 Fuzzy Systems
  • Appendix: MATLAB Neural Network Toolbox
  • Index

Book Details

Title: Introduction To Neural Networks Using Matlab 6.0 PB
Publisher: Tata McGraw Hill
Author: S Sumathi S Sivanandam
Edition: Paperback
Edition Number: 1




Deliverable Countries: This product ships to India, Sri Lanka.

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The book Introduction To Neural Networks Using Matlab 6.0 PB by S Sumathi S Sivanandam (author) is published or distributed by Tata McGraw Hill [0070591121, 9780070591127]. Introduction To Neural Networks Using Matlab 6.0 PB is available for use in Paperback binding. The printed edition number of this book is 1.
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