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Introduction to Fuzzy Basic Principles, Meaning representation and inference, Basic rules of inference, The linguistic variable and its application to fuzzy control.
Multilayer perceptrons, Fuzzy sets and classification. Implementation of Fuzzy rules with Neural Networks.
Artificial intelligence : Problem solving methods, game playing, Knowledge representation - predicate logic, nonmonotonic reasoning and structured representation.
Introduction to Evolutionary computing.
Natural networks, Biological & Artifical Neurons, Generalized perceptrons, Single layer and Multi-layer neural nets, Learning algorithms like Back Propagation and fast neural algorithms.
Unsupervised learning, Counter propagation, Kohonen Layer and Hopfield nets.
Introduction to Fuzzy logic and its application to pattern recognition, Neurofuzzy technique.Application of Neural Networks to Communication, Digital Signal Processing, Instrumentation and Control.
TEXTBOOKS
1. Fuzzy Logic by L.A. Zadeh, IEEE Computer Magazine, April - 1988, pp. 177-186.
2. Multilayer Perceptrons, Fuzzy sets, and classification by S.K. Pal, IEEE Trans. Neural Network Vol.3, No.5, Sept. 1995, pp.1-10.
3. Implementation of Fuzzy Logic Rules - Chapter 5 by James M. Keller and Hossein Tahani.
4. Artifical Interlligence, E.Rich, Mc.Graw Hill, Inc., USA, 1983.
5. Adaptive Pattern Recognition and Neural Networks by Y.H.Pao, Addison - wesley Publishing company, Inc. 1989.
6. Neural Network Arehitectures ; An Introduction by J.E. Dayhoff, Van Nostrand Reinhold International Company, 1990.
7. Neural Computing by Wasserm.
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