000			01412nam a22002537a 4500
003			APU
005			20221116133411.0
008			190212s2017 caua|||| |||| 00| 0 eng d
020			_a9781539701958 (pbk.)
020			_a1539701956 (pbk.)
040			_aAPU _beng _cAPU _dWAN
050			_aQA76.87 _b.L53 2017
100	1		_aL. Marvin. _941814
245	1	0	_aNeural networks with MATLAB / _cMarvin L
260			_aSan Bernardino, CA : _bpublisher not identified, _c2017
300			_a1 vol. (various p.) : _bill. ; _c28 cm.
504			_aIncludes bibliographical references.
505			_aNetwork objects, data, and training styles -- Multilayer networks and backpropagation training -- Dynamic netowkrs -- Control systems -- Radial bias networks -- Self-organizing learning vector quantization networks -- Adaptive filters and adaptive training -- Advanced topics -- Historical networks -- Network object reference -- Mathematical notation -- Blocks for the simulink environment -- Code notes.
520			_aA collection of algorithms, functions and apps to create, train, visualize, and simulate neural networks. Functions include classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.
650		0	_aNeural networks (Computer science) _941815
650		0	_aNeuromorphics. _941818
650		0	_aMATLAB. _941816
942			_2lcc _cBook
999			_c382176 _d382176