Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
by Samir Roy, Udit Chakraborty
Overview
Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence. This is done with the goal of creating tools that will contain some human-like capabilities (such as learning, reasoning and decision-making). This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the learner.
Book Contents –
1. Introduction
2. Fuzzy Sets
3. Fuzzy Logic
4. Fuzzy Inference Systems
5. Rough Sets
6. Artificial Neural Networks.Basic Concepts
7. Pattern Classifiers
8. Pattern Associators
9. Competitive Neural Nets
10. Backpropagation
11. Elementary Search Techniques
12. Advanced Search Strategies
13. Hybrid Systems
Index
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