Soft Computing Notes Download Pdf
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Table of Contents
Introduction To Soft Computing Pdf
- Chapter 1: Introduction
- Chapter 2: Fuzzy Sets
- 2.1 Crisp Sets: A Review
- 2.2 Fuzzy Sets
- 2.3 Fuzzy Membership Functions
- 2.5 Fuzzy Relations
- 2.6 Fuzzy Extension Principle
- Chapter 3: Fuzzy Logic
- 3.1 Crisp Logic: A Review
- 3.2 Fuzzy Logic Basics
- 3.4 Fuzzy Rules
- 3.5 Fuzzy Reasoning
- Chapter 4: Fuzzy Inference Systems
- 4.6 Defuzzification of the Resultant Aggregate Fuzzy Set
- 4.7 Fuzzy Controllers
- Chapter 5: Rough Sets
- Chapter 6: Artificial Neural Networks: Basic Concepts
- 6.1 Introduction
- 6.2 Computation in Terms of Patterns
- 6.4 The Perceptron
- 6.5 Neural Network Architectures
- 6.6 Activation Functions
- 6.7 Learning by Neural Nets
- Chapter 7: Pattern Classifiers
- Chapter 8: Pattern Associators
- 8.1 Auto-associative Nets
- 8.2 Hetero-associative Nets
- 8.3 Hopfield Networks
- 8.4 Bidirectional Associative Memory
- Chapter 9: Competitive Neural Nets
- 9.1 The MAXNET
- 9.2 Kohonen’s Self-organizing Map (SOM)
- 9.3 Learning Vector Quantization (LVQ)
- 9.4 Adaptive Resonance Theory (ART)
- Chapter 10: Backpropagation
- 10.1 Multi-layer Feedforward Net
- 10.3 The Backpropagation Algorithm
- Chapter 11: Elementary Search Techniques
- 11.2 State Space Search
- 11.3 Exhaustive Search
- 11.4 Heuristic Search
- Chapter 12: Advanced Search Strategies
- 12.1 Natural Evolution: A Brief Review
- 12.2 Genetic Algorithms (GAs)
- 12.3 Multi-objective Genetic Algorithms
- Chapter 13: Hybrid Systems
- 13.1 Neuro-genetic Systems
- 13.2 Fuzzy-neural Systems