000			01589cam a2200385 a 4500
999			_c13588 _d13588
001			15390920
003			EG-ScBUE
005			20200128144012.0
008			080731t2009 njua f b 001 0 eng d
020			_a0131293761
020			_a9780131293762
035			_a(OCoLC)ocn237325326
040			_aDLC _beng _erda _cDLC _dBAKER _dC#P _dYDXCP _dBWX _dCDX _dDLC _dEG-ScBUE
082	0	4	_a006.32 _bHAY _222
100	1		_aHaykin, Simon S, _d1931- _eauthor. _912279
245	1	0	_aNeural networks and learning machines / _cSimon Haykin, McMaster University Hamilton, Ontario, Canada.
250			_aThird edition.
250			_aPearson international edition.
264		1	_aUpper Saddle River, New Jersey : _bPearson Education, _c[2009]
264		4	_cc 2009
300			_a934 pages : _billustrations (some color) ; _c24 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references and index.
520			_aUsing a wealth of case studies to illustrate the real-life, practical applications of neural networks, this state-of-the-art text exposes students to many facets of Neural Networks.
650		7	_aNeural networks (Computer science) _2BUEsh _912280
650		7	_aAdaptive filters. _2BUEsh _912281
651			_2BUEsh
653			_bENGGEN _bCOMSCI _cOctober2011 _cAugust2018
655			_vReading book
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/toc/ecip0824/2008034079.html
942			_2ddc _cBB