product iamge

Principles of Soft Computing

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Download
Search on Amazon

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Edition: 3
Publisher: Wiley India
Year: 2019

Language: English
Pages: 760
City: New-Delhi
Tags: Neural Nets, Biological Neurons, Artificial Neurons, Learning Rules, Fuzzy Logic, Fuzzy Rule, Genetic Algorithm, Swarm Intelligence, Soft computing, Matlab

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