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BITS Soft Computing Sem-V
No Units Titles Sub Titles Chapters
1 Unit 1 Fuzzy Set Theory Basic Definition and Terminology, Set Theoretic Operations, MF Formulation and Parameterization, MF of two dimension, Fuzzy Union, Intersection and Complement VIEW CHAPTERS
2 Unit 2 Fuzzy Rules and Fuzzy Reasoning Extension Principles and Fuzzy Relations, Fuzzy IF THEN Rules, Fuzzy Reasoning VIEW CHAPTERS
3 Unit 3 Fuzzy Inference System Introduction, Mamdani Fuzzy Models, Other Variants, Sugeno Fuzzy Models, Tekamoto Fuzzy Models VIEW CHAPTERS
4 Unit 4 Fundamentals of Genetic Algorithms Basic Concepts Creation, Offsprings Encoding, Fitness functions, Reproduction, Genetic Modelling- Inheritance Operators, Cross over, Inversion and detection, Mutation operator, Bitwise operators VIEW CHAPTERS
5 Unit 5 NA Introduction, Architecture, Back Propagation and feed Forward Networks, Offline Learning, Online Learning VIEW CHAPTERS
6 Unit 6 Supervised Learning of Neural Networks Introduction, Perceptrons, Adaline, Back Propagation Multilayer Perceptrons, Back Propagation Learning Rules, Methods of Speeding, Radical Basis Function Networks, Functional Expansion Networks VIEW CHAPTERS
7 Unit 7 Unsupervised Learning Competitive Learning Networks, Kohonen self-organising networks, Hebbian Learning, The Hopfield Network VIEW CHAPTERS
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