000			01340nam a22003735i 4500
001			978-3-540-79872-9
003			DE-He213
005			20130515021753.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540798729 _9978-3-540-79872-9
024	7		_a10.1007/978-3-540-79872-9 _2doi
100	1		_aPatan, Krzysztof.
245	1	0	_aArtificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes _h[electronic resource] / _cby Krzysztof Patan.
260			_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_bdigital.
490	0		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v377
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aSystems theory.
650		0	_aPhysics.
650	1	4	_aEngineering.
650	2	4	_aControl Engineering.
650	2	4	_aSystems Theory, Control.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComplexity.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540798712
830		0	_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v377
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-79872-9
912			_aZDB-2-ENG
999			_c80641 _d80641