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001			32781
003			AE-DuAU
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008			070608s2007 si a b 001 0 eng c
010			_a 2008270006
020			_a9789812706249 : _c125.00
020			_a9812706240 : _c125.00
050	0	0	_aQA76.87 _bG77 2007
090			_aQA 76.87 G77 2007
100	1		_aGraupe, Daniel. _9157909
245	1	0	_aPrinciples of artificial neural networks / _cDaniel Graupe.
250			_a2nd ed.
260			_aSingapore ; _aHackensack, N.J. : _bWorld Scientific, _cc2007.
300			_axv, 303 p. : _bill. ; _c26 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	1		_aAdvanced series on circuits and systems ; _vvol. 6
504			_aIncludes bibliographical references (p. 291-297) and indexes.
505	0		_aFundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
650		0	_aNeural networks (Computer science) _98216
830		0	_aAdvanced series on circuits and systems ; _vv. 6. _9157910
852	1		_9P125.00usd
907			_a32781 _b06-01-11 _c05-29-11
942			_cBOOK _00
998			_aaudmc _b05-29-11 _cm _da _e- _feng _gsi _h0
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999			_c32781 _d32781