Artificial Neural Networks – B. Yegnanarayana – 1st Edition

Description

Designed as an introductory level textbook on Neural Networks 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 computing 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, intelligence and neural networks. He gives a masterly of such topics as Basics of artificial neural networks, Functional units of artificial neural networks 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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Table of Contents



*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

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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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