000			01532cam a2200289 a 4500
001			000015248
005			20160221095758.0
008			120216s2009 xxuado grn 001 0 eng d
942			_c
020			_a0131471392 _c(pasta dura)
020			_a9780131471399 _c(pasta dura)
040			_aCO-BrUAC _bspa _cCO-BrUAC _dCO-BrUAC
041	0		_aeng
082	0	4	_a006.32 _bH419 _222 ed.
100	1		_aHaykin, Simon
245	1	0	_aNeural networks and leaning machines / _cSimon Haykin.
250			_a3 ed.
260			_aNew Jersey : _bPearson Education, _c2009.
300			_a906 p. : _bil., grafs., fot. byn, col., etc.
504			_aIncluye referencias bibliográficas, índice, etc.
505	0		_aCap. 1. Rosenblatt's perceptron -- 2. Model building through regression -- 3.The least-mean-square algorithm -- 4. Multilayer perceptrons -- 5. Karnel methods and radial-basis function networks -- 6. Support vector machines -- 7. Regularization theory -- 8. Principal-component analysis -- 9. Self-organizing maps -- 10. Information-theoretic learning models -- 11. Stochastic methods rooted in statistical mechanics -- 12. Dynamic programming -- 13. Neurodynamics -- 14. Bayseian filtering for state estimation of dynamic systems -- 15. Dynamically driven recurrent networks.
544	1		_aDisponible en la Colección General : _bBiblioteca Central.
650	1	0	_aNeural Networks(Computer Science)
650	1	0	_aAdaptive Filters
650	1	4	_aLenguaje de Programación _xComputadores
650	1	4	_aProcesamiento Electrónico de Datos
999			_c15083 _d15083