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