Introduction to Artificial Neural Networks

Introduction to Artificial Neural Networks

Authors : S N Sivanandam

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About the Author

S N Sivanandam :-
He is presently Head, Department of Computer Science and Engineering, PSG College of Technology, Coimbatore and till recently Head, Department of Electrical and Electronics Engineering, PSG College of Technology.
He has a bachelor's degree in Electrical Engineering, a master's degree in Power Systems and Ph.D. in Control Systems. He has over 35 years of teaching experience and research experience in the fields of Control Systems, Digital Systems, Neural Networks, Fuzzy Logic, Genetic Algorithm, Data Mining, Modelling and Simulation, Multi-dimensional System and Knowledge-based System.

About the Book

This book on Artificial Neural Networks has its emphasis on clear concepts, ease of understanding and simple examples. Written for undergraduate students of the subject, the book presents a large variety of standard neural networks with architecture, algorithms and applications.


1. Introduction, 2. Hebb Net, Adaline, Madaline and Perception, 3. Associative Memory, 4. Self-Organizing Maps: Topological Preserving Nets, 5. Backpropagation Network, 6. Adaptive Resonance Theory, 7. Special Networks, 8. Control Networks