SOFT COMPUTING (3-1-0)

DEPARTMENT OF ELECTRICAL ENGINEERING & ELECTRICAL & ELECTRONICS ENGINEERING VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY, BURLA, ODISHA, INDIA 8th SEMESTER EE & EEE LECTURE NOTES ON SOFT COMPUTING SUBJECT CODE: BCS 1705 SOFT COMPUTING (3-1-0) MODULE-I (10 HOURS) Introduction to neuro , fuzzy and Soft COMPUTING , fuzzy Sets : Basic Definition and Terminology, Set-theoretic Operations, Member Function Formulation and Parameterization, fuzzy Rules and fuzzy Reasoning, Extension Principle and fuzzy Relations, fuzzy If-Then Rules, fuzzy Reasoning , fuzzy Inference Systems, Mamdani fuzzy Models, Sugeno fuzzy Models, Tsukamoto fuzzy Models, Input Space Partitioning and fuzzy Modeling. MODULE-II (10 HOURS) Neural networks: Single layer networks, Perceptrons: Adaline, Mutilayer Perceptrons Supervised Learning, Back-propagation, LM Method, Radial Basis Function Networks, Unsupervised Learning Neural Networks, Competitive Learning Networks, Kohonen Self-Organizing Networks, Learning Vector Quantization, Hebbian Learning.

Introduction to Neuro, Fuzzy and Soft Computing, Fuzzy Sets : Basic Definition and Terminology, Set-theoretic Operations, Member Function Formulation and Parameterization, Fuzzy Rules and ... Timothy J.Ross, “Fuzzy Logic with Engineering Applications”, McGraw-Hill, International Editions, Electrical Engineering Series, Singapore, 1997.

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  Logic, Neuro, Fuzzy logic, Fuzzy

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