Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr

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.