000			06817nam a2201573 i 4500
001			5487867
003			IEEE
005			20220712205741.0
006			m o d
007			cr |n|||||||||
008			151221s2010 njua ob 001 eng d
020			_a9780470569962 _qelectronic
020			_a0470569964
020			_z9780470287194 _qprint
024	7		_a10.1002/9780470569962 _2doi
035			_a(CaBNVSL)mat05487867
035			_a(IDAMS)0b0000648129b735
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQ342 _b.E785 2010eb
082	0	4	_a006.3 _222
082	0	4	_a006.3 _2220
245	0	0	_aEvolving intelligent systems : _bmethodology and applications / _cPlamen Angelov, Dimitar P. Filev, Nik Kasabov.
264		1	_aHoboken, New Jersey : _bJohn Wiley, _cc2010.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010]
300			_a1 PDF (xv, 444 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE press series on computational intelligence ; _v12
504			_aIncludes bibliographical references and index.
505	0		_aPREFACE -- Evolving Intelligent Systems -- The Editors -- PART I: METHODOLOGY -- Evolving Fuzzy Systems -- 1. Learning Methods for Evolving Intelligent Systems (R. Yager) -- 2. Evolving Takagi-Sugeno Fuzzy Systems from Data Streams (eTS+) (P. Angelov) -- 3. Fuzzy Models of Evolvable Granularity (W. Pedrycz) -- 4. Evolving Fuzzy Modeling Using Participatory Learning (E. Lima, M. Hell, R. Ballini, and F. Gomide) -- 5. Towards Robust and Transparent Evolving Fuzzy Systems (E. Lughofer) -- 6. The building of fuzzy systems in real-time: towards interpretable fuzzy rules (A. Dourado, C. Pereira, and V. Ramos) -- Evolving Neuro-Fuzzy Systems -- 7. On-line Feature Selection for Evolving Intelligent Systems (S. Ozawa, S. Pang, and N. Kasabov) -- 8. Stability Analysis of an On-Line Evolving Neuro-Fuzzy Network (J. de J. Rubio Avila) -- 9. On-line Identification of Self-organizing Fuzzy Neural Networks for Modelling Time-varying Complex Systems (G. Prasad, T. M. McGinnity, and G. Leng) -- 10. Data Fusion via Fission for the Analysis of Brain Death (L. Li, Y. Saito, D. Looney, T. Tanaka, J. Cao, and D. Mandic) -- Evolving Fuzzy Clustering and Classification -- 11. Similarity Analysis and Knowledge Acquisition by Use of Evolving Neural Models and Fuzzy Decision (G. Vachkov) -- 12. An Extended version of Gustafson-Kessel Clustering Algorithm for Evolving Data Stream Clustering (D. Filev, and O. Georgieva) -- 13. Evolving Fuzzy Classification of Non-Stationary Time Series (Y. Bodyanskiy, Y. Gorshkov, I. Kokshenev, and V. Kolodyazhniy) -- PART II: APPLICATIONS OF EIS -- 14. Evolving Intelligent Sensors in Chemical Industry (A. Kordon et al.) -- 15. Recognition of Human Grasps by Fuzzy Modeling (R Palm, B Kadmiry, and B Iliev) -- 16. Evolutionary Architecture for Lifelong Learning and Real-time Operation in Autonomous Robots (R. J. Duro, F. Bellas and J.A. Becerra) 17. Applications of Evolving Intelligent Systems to Oil and Gas Industry (J. J. Macias Hernandez et al.) -- Conclusion.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
650		0	_aComputational intelligence. _97716
650		0	_aFuzzy systems. _93413
650		0	_aNeural networks (Computer science) _93414
650		0	_aEvolutionary programming (Computer science) _915709
650		0	_aIntelligent control systems. _93412
655		0	_aElectronic books. _93294
695			_aAccuracy
695			_aAdaptation model
695			_aAdaptive systems
695			_aAlgorithm design and analysis
695			_aApproximation methods
695			_aArtificial neural networks
695			_aBenchmark testing
695			_aBiographies
695			_aBiological system modeling
695			_aBooks
695			_aBrain
695			_aBuildings
695			_aChemical industry
695			_aChemical sensors
695			_aClustering algorithms
695			_aComplexity theory
695			_aComputational modeling
695			_aCorrelation
695			_aCovariance matrix
695			_aData gloves
695			_aData models
695			_aDeath
695			_aEigenvalues and eigenfunctions
695			_aElectrodes
695			_aElectroencephalography
695			_aEquations
695			_aEvolutionary computation
695			_aFeature extraction
695			_aFuzzy logic
695			_aFuzzy neural networks
695			_aFuzzy sets
695			_aFuzzy systems
695			_aGrasping
695			_aHeuristic algorithms
695			_aHidden Markov models
695			_aHumans
695			_aIndexes
695			_aIndustries
695			_aInput variables
695			_aInstruments
695			_aIntelligent systems
695			_aJoints
695			_aKernel
695			_aKnowledge acquisition
695			_aKnowledge based systems
695			_aKnowledge engineering
695			_aLearning systems
695			_aLoad modeling
695			_aMIMO
695			_aMathematical model
695			_aMeasurement
695			_aMedical diagnostic imaging
695			_aMerging
695			_aMonitoring
695			_aNeurons
695			_aNeurophysiology
695			_aNoise
695			_aNumerical models
695			_aOptimization
695			_aPartitioning algorithms
695			_aPetroleum
695			_aPixel
695			_aPragmatics
695			_aPrincipal component analysis
695			_aProcess control
695			_aPrototypes
695			_aReal time systems
695			_aRobot sensing systems
695			_aRobots
695			_aRobustness
695			_aSections
695			_aSensors
695			_aService robots
695			_aShape
695			_aSignal processing algorithms
695			_aSpeech processing
695			_aStability analysis
695			_aTakagi-Sugeno model
695			_aTime series analysis
695			_aTime varying systems
695			_aTraining
695			_aTuning
695			_aUnsupervised learning
700	1		_aKasabov, Nikola K. _927473
700	1		_aFilev, Dimitar P., _d1959- _927474
700	1		_aAngelov, Plamen. _927475
710	2		_aJohn Wiley & Sons, _epublisher. _96902
710	2		_aIEEE Xplore (Online service), _edistributor. _927476
776	0	8	_iPrint version: _z9780470287194
830		0	_aIEEE series on computational intelligence ; _v12 _94752
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5487867
942			_cEBK
999			_c74074 _d74074