000			03479nam a22005175i 4500
001			978-3-662-43370-6
003			DE-He213
005			20200421111845.0
007			cr nn 008mamaa
008			140522s2014 gw | s |||| 0|eng d
020			_a9783662433706 _9978-3-662-43370-6
024	7		_a10.1007/978-3-662-43370-6 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aInnovations in Intelligent Machines-5 _h[electronic resource] : _bComputational Intelligence in Control Systems Engineering / _cedited by Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014.
300			_aXV, 248 p. 129 illus. _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 ; _v561
505	0		_aDecentralized Fuzzy-Neural Identification and I-Term Adaptive Control of Distributed Parameter Bioprocess Plan -- Error Tolerant Predictive Control based on Recurrent Neural Models -- Advances in Multiple Models based Adaptive Switching Control: from Conventional to Intelligent approaches -- A Computational Intelligence Approach to Software Component Repository Management -- A Soft Computing Approach to Model Human Factors in Air Warfare Simulation System -- Application of Gaussian Processes to the Modelling and Control in Process Engineering -- Computational Intelligence Techniques for Chemical Process Control -- Application of Swarm Intelligence in Fuzzy Entropy based Image Segmentation.
520			_aThis research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems  based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650		0	_aControl engineering.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aControl.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aBalas, Valentina Emilia. _eeditor.
700	1		_aKoprinkova-Hristova, Petia. _eeditor.
700	1		_aJain, Lakhmi C. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783662433690
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v561
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-662-43370-6
912			_aZDB-2-ENG
942			_cEBK
999			_c55764 _d55764