Offering a wide range of programming examples implemented in MATLAB®, this book presents theoretical concepts and a general framework for CI approaches. It covers numerous intelligent computing methodologies and algorithms used in CI research. The text provides worked examples of neural networks, fuzzy systems, hybrid neuro-fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence, along with the associated MATLAB toolboxes. It also contains research projects, a survey of emerging commercial software packages, and numerous review questions.

S. Sumathi is an assistant professor in the Department of Electrical and Electronics Engineering at PSG College of Technology, Coimbatore, India. Her research interests include neural networks, fuzzy systems, genetic algorithms, pattern recognition and classification, data warehousing and mining, operating systems, and parallel computing.

Surekha Paneerselvam is a lecturer in the Department of Electronics and Communication Engineering at Adhiyamaan College of Engineering, Hosur, India. Her research interests include robotics, virtual instrumentation, mobile communication, and computational intelligence.

Computational Intelligence. Artificial Neural Networks with MATLAB. Artificial Neural Network Architectures and Algorithms. Classification and Data Association Neural Networks. MATLAB Programs to Implement Neural Networks. MATLAB-Based Fuzzy Systems. Fuzzy Inference and Expert Systems. MATLAB Illustrations on Fuzzy Systems. Neuro-Fuzzy Modeling. Neuro-Fuzzy Modeling Using MATLAB. Evolutionary Computation Paradigms. Evolutionary Algorithms Implemented Using MATLAB. MATLAB-Based Genetic Algorithm. Genetic Programming with MATLAB. MATLAB-Based Swarm Intelligence. Appendices. Bibliography.