ARTIFICIAL NEURAL NETWORKS

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PHI Learning Pvt. Ltd., Jan 14, 2009 - Computers - 476 pages
4 Reviews
Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch 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 research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis 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 applications provides a practical thrust to the discussion.
 

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Contents

INTRODUCTION 114
1
BASICS OF ARTIFICIAL NEURAL NETWORKS 1539
15
ACTIVATION AND SYNAPTIC DYNAMICS 4075
40
FUNCTIONAL UNITS OF ANN FOR PATTERN
76
FEEDFORWARD NEURAL NETWORKS 88141
88
FEEDBACK NEURAL NETWORKS 142200
142
COMPETITIVE LEARNING NEURAL NETWORKS 201232
201
ARCHITECTURES FOR COMPLEX PATTERN
233
APPLICATIONS OF ANN 278339
278
Appendices 341397
341
Bibliography 399431
399
Author Index 43340
433
Subject Index 441461
441
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Page 406 - Pattern classification and scene analysis", New- York, Wiley, 1973.
Page 406 - Burke, B. (1989). Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb.
Page 425 - Neurocomputing," in Artificial Neural Networks: Paradigms, Applications, and Hardware Implementations, E. SanchezSinencio and C. Lau, Eds., IEEE Press, 1992, pp 344-363. [69] E. Vittoz, H. Oguey, MA Maher, O. Nys, E. Dijkstra, and M. Chevroulet, "Analog Storage of Adjustable Synaptic Weights," in VLSI Design of Neural Networks, Norwell MA: Kluwer Academic, pp 47-63, 1991.
Page 420 - AF Rocha, Fuzzy-set based models of neurons and knowledge-based networks, IEEE Trans, on Fuzzy Systems, 1, 1993, 254-266.
Page 420 - Chaos - A Tutorial for Engineers," Proceedings of The IEEE, vol.

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About the author (2009)

Dr.B.YEGNANARAYANA is Professor in Department of Computer Science and Engineering, Indian Institute of Technology Madras. A Fellow of the Indian National Academy of Engineers, Prof. Yegnanarayana has published several papers in reputed national and international journals. His areas of interest include signal processing, speech and image processing, and neural networks.

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