Principles of Soft Computing

Description

Cover Title Copyrights Preface About the Authors Contents Chapter 1 Introduction Chapter 2 Artificial Neural Network Chapter 3 Supervised Learning Network Chapter 4 Associative Memory Networks Chapter 5 Unsupervised Learning Networks Chapter 6 Special Networks Chapter 7 Third-Generation Neural Networks Chapter 8 Clustering of Self-Organizing Feature Maps Chapter 9 Stability Analysis of a Class of Artificial Neural Network Systems Chapter 10 Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets Chapter 11 Classical Relations andFuzzy Relations Chapter 12 Membership Function Chapter 13 Defuzzification Chapter 14 Fuzzy Arithmetic and Fuzzy Measures Chapter 15 Fuzzy Rule Base and Approximate Chapter 16 Fuzzy Decision making Chapter 17 Fuzzy Logic Control Systems Chapter 18 Fuzzy Cognitive Maps Chapter 19 Type-2 Fuzzy Sets and Embedded Fuzzy Sets Chapter 20 Stability Analysis of Certain Classes of Fuzzy Systems Chapter 21 Genetic Algorithm Chapter 22 Differential Evolution Algorithm Chapter 23 Hybrid Soft Computing Techniques Chapter 24 Applications of Soft Computing Chapter 25 Soft Computing Techniques Using C and C++ Chapter 26 MATLAB Environment for Soft Computing Bibliography Sample Question Paper 1 Index Back Cover