Computational Intelligence Paradigms
CRC Press (Verlag)
978-0-367-38455-5 (ISBN)
The book first focuses on neural networks, including common artificial neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications of neural networks. It then discusses fuzzy sets, fuzzy rules, applications of fuzzy systems, and different types of fused neuro-fuzzy systems, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and Takagi–Sugeno inference systems. The authors also describe the history, advantages, and disadvantages of evolutionary computation and include solved MATLAB programs to illustrate the implementation of evolutionary computation in various problems. After exploring the operators and parameters of genetic algorithms, they cover the steps and MATLAB routines of genetic programming. The final chapter introduces swarm intelligence and its applications, particle swarm optimization, and ant colony optimization.
Full of worked examples and end-of-chapter questions, this comprehensive book explains how to use MATLAB to implement CI techniques for the solution of biological problems. It will help readers with their work on evolution dynamics, self-organization, natural and artificial morphogenesis, emergent collective behaviors, swarm intelligence, evolutionary strategies, genetic programming, and the evolution of social behaviors.
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.
Erscheinungsdatum | 30.09.2019 |
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Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 453 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
ISBN-10 | 0-367-38455-8 / 0367384558 |
ISBN-13 | 978-0-367-38455-5 / 9780367384555 |
Zustand | Neuware |
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