Artificial Neural Networks – B. Yegnanarayana – 1st Edition

Description

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

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

Table of Content



*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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