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001 | 295079 | ||
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005 | 20160429155212.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2005 gw | o |||| 0|eng d | ||
020 |
_a9783540315964 _99783540315964 |
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024 | 7 |
_a10.1007/b98334 _2doi |
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035 | _avtls000347811 | ||
039 | 9 |
_a201509031104 _bVLOAD _c201405070518 _dVLOAD _y201402070940 _zstaff |
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040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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100 | 1 |
_aJanczak, Andrzej. _eautor _9329222 |
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245 | 1 | 0 |
_aIdentification of Nonlinear Systems Using Neural Networks and Polynomial Models : _bA Block-Oriented Approach / _cby Andrzej Janczak. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_axiv, 197 páginas _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aLecture Notes in Control and Information Science, _x0170-8643 ; _v310 |
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500 | _aSpringer eBooks | ||
505 | 0 | _aIntroduction -- Neural network Wiener models -- Neural network Hammerstein models -- Polynomial Wiener models -- Polynomial Hammerstein models -- Applications. | |
520 | _aThis monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783540231851 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b98334 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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