000			01545nam a22001697a 4500
005			20240222095006.0
008			240222b |||||||| |||| 00| 0 eng d
020			_a9788184874952
082			_a006.3 _bPRA
100			_aD. K. Pratihar
245			_aSoft Computing _cD. K. Pratihar
260			_aDelhi _bNarosa _c2014
300			_a246P; _c185mm x 240mm
505			_tIntroduction / Optimization and Some Traditional Methods / Introduction to Genetic Algorithms / Some Specialized Genetic Algorithms / Introduction to Fuzzy Sets / Fuzzy Reasoning and Clustering / Fundamentals of Neural Networks / Some Examples of Neural Networks / Combined Genetic Algorithms: Fuzzy Logic / Combined Genetic Algorithms: Neural Networks / Combined Neural Networks: Fuzzy Logic.
520			_aThis book starts with an introduction to soft computing, a family consisting of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. To realize the need for a non-traditional optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in detail. The mechanisms of some specialized GAs are then discussed with appropriate examples. Fuzzy sets are introduced before explaining the principle of fuzzy reasoning and clustering. The fundamentals of NNs are presented, prior to the discussion on various forms of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are explained in the last three chapters.
942			_2ddc _cBK
999			_c2094 _d2094