Syllabus (Elective): M.Tech

Fuzzy Logic and Neural Networks

Code: EE 659 | L-T-P-C : 3-0-0

Introduction to Fuzzy sets: Fuzzy relation, Approximate reasoning, Rules; Fuzzy control design parameters: Rule base, data base; Choice of fuzzification procedure; Choice of defuzzification procedure; Nonlinear fuzzy control; Adaptive fuzzy control; Introduction to Neural Networks: Biological Neurons, Artificial Neurons – various models, Artificial Neural Networks – various structures, Learning Strategies, Applications.

Texts / References:

1. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice- Hall India, 2nd Edition, 1999.
2. J. S. R. Jang, C. T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, 2nd Edition, Pearson Education, 2005.
3. J. A. Freeman and D. M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, 1st Edition, Pearson Education, 2007.