000			03088nam a22005175i 4500
001			978-3-319-01547-7
003			DE-He213
005			20200421111659.0
007			cr nn 008mamaa
008			130802s2014 gw | s |||| 0|eng d
020			_a9783319015477 _9978-3-319-01547-7
024	7		_a10.1007/978-3-319-01547-7 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aMrugalski, Marcin. _eauthor.
245	1	0	_aAdvanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis _h[electronic resource] / _cby Marcin Mrugalski.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXXI, 182 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v510
505	0		_aIntroduction -- Designing of dynamic neural networks -- Estimation methods in training of ANNs for robust fault diagnosis -- MLP in robust fault detection of static non-linear systems -- GMDH networks in robust fault detection of dynamic non-linear systems -- State-space GMDH networks for actuator robust FDI.
520			_aThe present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.  .
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650		0	_aComplexity, Computational.
650		0	_aControl engineering.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComplexity.
650	2	4	_aControl.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319015460
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v510
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-01547-7
912			_aZDB-2-ENG
942			_cEBK
999			_c54870 _d54870