Artificial Neural Networks – B. Yegnanarayana – 1st Edition

Description

Designed as an introductory level textbook on Artificial at the postgraduate and senior undergraduate levels in any of engineering, this self-contained and well-organized book highlights the need for new models of based on the fundamental principles of neural networks.

Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and in the areas of speech processing, image processing, and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world provides a practical thrust to the discussion.

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  • *INTRODUCTION
    *BASICS OF ARTIFICIAL NEURAL NETWORKS
    *ACTIVATION AND SYNAPTIC DYNAMICS
    *FUNCTIONAL UNITS OF ANN FOR PATTERN
    *FEEDFORWARD NEURAL NETWORKS
    *FEEDBACK NEURAL NETWORKS
    *COMPETITIVE LEARNING NEURAL NETWORKS
    *ARCHITECTURES FOR COMPLEX PATTERN
    *APPLICATIONS OF ANN
    *Appendices
    *Bibliography
    *Author Index
    *Subject Index
  • Citation

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Huda
Huda
23/07/2017 3:33 pm

Really good book with cool content. Would totally recommend this web site to my friends.

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