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040			_cIISER-BPR
041			_aENG
082			_a006.32 _bHAY _223rd
100			_aHaykin, Simon
222			_aComputer Sciences
245		0	_aNeural networks and learning machines
250			_a3rd ed.
260			_aNoida: _bPearson India Education Services Pvt. Ltd, _cc2016.
300			_axxiv, 918p. : _bill, pbk. ; _c23cm.
520			_aRefocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently. Salient Features :- • Based on the latest version of MATLAB® • More than 30 graphs in color in the chapter ""MATLAB® Graphics"". • List of commands at the end of the chapter for quick recapitulation. • Appendices on graphic user interface and control system analysis using the LTI viewer. • Approximately 250 figures and screenshots. • Programming tips to highlight good programming practices. • More than 250 solved examples and approximately 200 end-of-chapter exercises. Also includes bibliographic references, index, abbreviations and symbols list and glossary.
650			_aSpecial Computer Methods
650			_aArtificial Intelligence
650			_aNeural Networks
942			_cBK _2ddc _02
942			_2ddc
947			_a24495.1532
948			_a0.22
999			_c4112 _d4112