000			02561nam a2200193 a 4500
001			ASIN143980902X
005			20140604034035.0
008			140604s2010 xxu eng d
020			_a143980902X (hardcover) _c$154.95
020			_a9781439809020 (hardcover)
100	1		_aSumathi, S.
245	1	0	_aComputational intelligence paradigms : _btheory & applications using matlab / _cS. Sumathi, Surekha Paneerselvam.
250			_a0th ed.
260			_a[S.l.] : _bCRC Press, _c2010.
300			_a851 p. ; _c24 cm.
520			_aOffering 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 programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research. 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 behavio
700			_aPaneerselvam, Surek
856			_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/143980902X/chopaconline
999			_c5090 _d5090