000			03372nam a22005175i 4500
001			978-3-319-27267-2
003			DE-He213
005			20200420221251.0
007			cr nn 008mamaa
008			160205s2016 gw | s |||| 0|eng d
020			_a9783319272672 _9978-3-319-27267-2
024	7		_a10.1007/978-3-319-27267-2 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aInnovative Issues in Intelligent Systems _h[electronic resource] / _cedited by Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov.
250			_a1st ed. 2016.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aX, 353 p. 168 illus., 103 illus. in color. _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 ; _v623
505	0		_aA realistic Overview of Intelligent Systems in Industry -- Prediction of the Attention Area in Ambient Intelligence Tasks Using Adaptive Neuro-Fuzzy Inference System (ANFIS) -- Chapter III. Integration of Knowledge Components in Hybrid Intelligent Control Systems -- Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories -- Logical Operations and Inference in the Complex S-logic -- Generalized Nets as Tools for Modelling of Data Mining Processes -- Induction of Modular Classification Rules by Information Entropy Based Rule Generation -- Proposals for Knowledge Driven and Data Driven Applications in Security Systems -- On intuitionistic Fuzzy Operators from Modal Types -- Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design -- Multistep Modeling for Approximation and Classification by Use of RBF Network Models.
520			_aThis book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation "thinking machines" as well as for other futuristic logical applications that are rapidly changing our world nowadays.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aSgurev, Vassil. _eeditor.
700	1		_aYager, Ronald R. _eeditor.
700	1		_aKacprzyk, Janusz. _eeditor.
700	1		_aJotsov, Vladimir. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319272665
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v623
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-27267-2
912			_aZDB-2-ENG
942			_cEBK
999			_c52588 _d52588