000 | 01532cam a2200289 a 4500 | ||
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001 | 000015248 | ||
005 | 20160221095758.0 | ||
008 | 120216s2009 xxuado grn 001 0 eng d | ||
942 | _c | ||
020 |
_a0131471392 _c(pasta dura) |
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020 |
_a9780131471399 _c(pasta dura) |
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040 |
_aCO-BrUAC _bspa _cCO-BrUAC _dCO-BrUAC |
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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 |