000 | 02865nam a22005895i 4500 | ||
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001 | 978-3-540-31596-4 | ||
003 | DE-He213 | ||
005 | 20161121231021.0 | ||
007 | cr nn 008mamaa | ||
008 | 100806s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540315964 _9978-3-540-31596-4 |
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024 | 7 |
_a10.1007/b98334 _2doi |
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050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aTJ163.12 | |
072 | 7 |
_aTJFM _2bicssc |
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072 | 7 |
_aTJFD _2bicssc |
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072 | 7 |
_aTEC004000 _2bisacsh |
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072 | 7 |
_aTEC037000 _2bisacsh |
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082 | 0 | 4 |
_a629.8 _223 |
100 | 1 |
_aJanczak, Andrzej. _eauthor. |
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245 | 1 | 0 |
_aIdentification of Nonlinear Systems Using Neural Networks and Polynomial Models _h[electronic resource] : _bA Block-Oriented Approach / _cby Andrzej Janczak. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_aXIV, 199 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Control and Information Science, _x0170-8643 ; _v310 |
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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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aSystem theory. | |
650 | 0 | _aStatistical physics. | |
650 | 0 | _aDynamical systems. | |
650 | 0 | _aVibration. | |
650 | 0 | _aDynamics. | |
650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aMechatronics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aControl, Robotics, Mechatronics. |
650 | 2 | 4 | _aVibration, Dynamical Systems, Control. |
650 | 2 | 4 | _aSystems Theory, Control. |
650 | 2 | 4 | _aStatistical Physics, Dynamical Systems and Complexity. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540231851 |
830 | 0 |
_aLecture Notes in Control and Information Science, _x0170-8643 ; _v310 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/b98334 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c507340 _d507340 |