000			02979nam a22002297a 4500
999			_c25373 _d25373
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008			190122b ||||| |||| 00| 0 eng d
020			_a9788120353343
040			_cVITAP
082			_223rd _a006.32 RAJ
100			_98876 _aRajasekaran, S.
245			_aNeural Networks, Fuzzy Systems, and Evolutionary Algorithms : _bSynthesis and Applications / _cS. Rajasekaran and G.A. Vijayalakshmi Pai
250			_a2nd Ed.
260			_aNew Delhi _bPHI Learning Pvt. Ltd. _c2019
300			_axx, 552p. : ill. ; _c24cm
500			_aIt includes Index Pages The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work. NEW TO THE SECOND EDITION • New chapters on Extreme Learning Machine, Type-2 Fuzzy Sets, Evolution Strategies, Differential Evolution, and Evolutionary Extreme Learning Machine. • Revised chapters on Introduction to Artificial Intelligence Systems, Fuzzy Set Theory, and Integration of Neural Networks, Fuzzy Set Theories, and Evolutionary Algorithms
650		0	_98879 _aNeural Networks; Genetic Algorithm; Fuzzy Logics; Soft Computing; Fuzzy Systems -- Computer Science Engineering;
700			_98880 _aPai, G.A. Vijayalakshmi
856			_uhttps://www.phindia.com/Books/BookDetail/9788120353343/neural-networks-fuzzy-systems-and-evolutionary-algorithms-pai
942			_2ddc _cBK _h006.32 RAJ