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008			250528b |||||||| |||| 00| 0 eng d
020			_a9788184877991
040			_aCSL _cCSL
041			_2eng _aeng
084			_aD65,8(B),27 R5 TF _qCSL
100			_aPratihar, Dilip K. _eauthor. _9810985
245			_aSoft computing and AI: _b Fundamentals and applications
260			_aNew Delhi: _bNarosa Publishing House _c2025.
300			_axxiii, 288p. _b: ill _c; 24 cm.
500			_aIncludes Nomenclature, Greek symbols, abbreviations and Index
520			_aThis textbook has been revised and renamed as Soft Computing and AI: Fundamentals and Applications – earlier published as Soft Computing: Fundamentals and Applications, begins with an introduction to Soft Computing, a family of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs), etc., including AI tools. To realize the need for a non-traditional and nature-inspired optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in depth along with the mechanisms of some specialized GAs with appropriate examples. Working principles of non-traditional optimization tools like Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Bonobo Optimization (BO) algorithm are discussed. Multi-objective optimization is covered, where the working principles of a few approaches are explained. 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 including Deep Learning Neural Network (DLNN). The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are then explained, and the last chapter deals with the applications of soft computing and AI tools in two different fields of research. This book fulfils the requirements of a large number of readers belonging to various disciplines of engineering and general sciences. The algorithms are discussed with a number of solved numerical examples. It will be a valuable book for the undergraduate and postgraduate students, researchers, scientists and practicing engineers and others.
650			_aSoft computing _vArtificial intelligence _9810986
650			_aFuzzy systems _vNeural networks _xGenetic algorithms _zArtificial intelligence—Applications _9810987
942			_2CC _n0 _cTB _hD65,8(B),27 R5 TF
999			_c1431180 _d1431180