Computational Intelligence Paradigms: Theory & Applications using MATLAB Book

Computational Intelligence (CI)

Introduction

Primary Classes of Problems for CI Techniques

Neural Networks

Fuzzy Systems

Evolutionary Computing

Swarm Intelligence

Other Paradigms

Hybrid Approaches

Relationship with Other Paradigms

Challenges to CI

Artificial Neural Networks with MATLAB

Introduction

A Brief History of Neural Networks

Artificial Neural Networks

Neural Network Components

Artificial Neural Network Architectures and Algorithms

Introduction

Layered Architecture

Prediction Networks

Classification and Data Association Neural Networks

Introduction

Neural Networks Based on Classification

Data Association Networks

Data Conceptualization Networks

Applications Areas of Association Neural Networks

MATLAB Programs to Implement Neural Networks

Coin Detection: Using Euclidean Distance (Hamming Net)

Learning Vector Quantization (LVQ)

Character Recognition Using Kohonen SOM Network

The Hopfield Network as an Associative Memory

Generalized Delta Learning Rule and Back Propagation of Errors for a Multilayer Network

Classification of Heart Disease Using LVQ

Neural Network Using MATLAB Simulink

MATLAB-Based Fuzzy Systems

Introduction

Imprecision and Uncertainty

Crisp and Fuzzy Logic

Fuzzy Sets

Universe

Membership Functions

Singletons

Linguistic Variables

Operations on Fuzzy Sets

Fuzzy Arithmetic

Fuzzy Relations

Fuzzy Composition

Fuzzy Inference and Expert Systems

Introduction

Fuzzy Rules

Fuzzy Expert System Model

Fuzzy Inference Methods

Fuzzy Inference Systems in MATLAB

Fuzzy Automata and Languages

Fuzzy Control

MATLAB Illustrations on Fuzzy Systems

Application of Fuzzy Controller Using MATLAB: Fuzzy Washing Machine

Fuzzy Control System for a Tanker Ship

Approximation of Any Function Using Fuzzy Logic

Building Fuzzy Simulink Models

Neuro-Fuzzy Modeling

Introduction

Cooperative and Concurrent Neuro-Fuzzy Systems

Fused Neuro Fuzzy Systems

Hybrid Neuro-Fuzzy Model: ANFIS

Classification and Regression Trees

Data Clustering Algorithms

Neuro-Fuzzy Modeling Using MATLAB

Fuzzy Art Map

Fuzzy C-Means Clustering: Comparative Case Study

K-Means Clustering

Neuro-Fuzzy System Using Simulink

Neuro-Fuzzy System Using Takagi-Sugeno and ANFIS GUI of MATLAB

Evolutionary Computation Paradigms

Introduction

Evolutionary Computation

Brief History of Evolutionary Computation

Biological and Artificial Evolution

Flow Diagram of a Typical Evolutionary Algorithm

Models of Evolutionary Computation

Evolutionary Algorithms

Evolutionary Programming

Evolutionary Strategies

Advantages and Disadvantages of Evolutionary Computation

Evolutionary Algorithms Implemented Using MATLAB

Design of a Proportional-Derivative Controller Using Evolutionary Algorithm for Tanker Ship Heading Regulation

Maximizing the Given 1-D Function with the Boundaries Using Evolutionary Algorithm

Multi-Objective Optimization Using Evolutionary Algorithm

Evolutionary Strategy for Nonlinear Function Minimization

MATLAB-Based Genetic Algorithm (GA)

Introduction

Encoding and Optimization Problems

Historical Overview of GA

GA Description

Role of GAs

Solution Representation for GAs

Parameters of GA

Schema Theorem and Theoretical Background

Crossover Operators and Schemata

Genotype and Fitness

Advanced Techniques and Operators of GA

GA versus Traditional Search and Optimization Methods

Benefits of GA

MATLAB Programs on GA

Genetic Programming with MATLAB

Introduction

Growth of Genetic Programming

The LISP Programming Language

Functionality of Genetic Programming

Genetic Programming in Machine Learning

Elementary Steps of Genetic Programming

Flow Chart of Genetic Programming

Benefits of Genetic Programming

MATLAB Examples Using Genetic Programming

MATLAB-Based Swarm Intelligence (SI)

Introduction to Swarms

Biological Background

Swarm Robots

Stability of Swarms

SI

Particle Swarm Optimization (PSO)

Extended Models of PSO

Ant Colony Optimization

Studies and Applications of SI

MATLAB Examples of SI

Appendix A: Glossary of Terms

Appendix B: List of Abbreviations

Appendix C: MATLAB Toolboxes Based on CI

Appendix D: Emerging Software Packages

Appendix E: Research Projects

Bibliography

A Summary and Review Questions appear at the end of each chapter.