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008			160916s2016 xxk| s |||| 0|eng d
020			_a9781447172963
040			_aES-MaUEC _bspa _dES-MaUEC
050		4	_aQ335 _b.K78 2016 eb
100	1		_aKruse, Rudolf _eautor _9136559
245	1	0	_aComputational Intelligence : _bA Methodological Introduction _cby Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
250			_a2nd edition
260			_aLondon _bSpringer London _c2016
300			_a1 recurso en línea (XIII, 564 páginas) _b255 ilustraciones
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aTexts in Computer Science _x1868-0941
505	0		_aIntroduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical Remarks for Neural Networks -- Part II: Evolutionary Algorithms -- Introduction to Evolutionary Algorithms -- Elements of Evolutionary Algorithms -- Fundamental Evolutionary Algorithms -- Computational Swarm Intelligence -- Part III: Fuzzy Systems -- Fuzzy Sets and Fuzzy Logic -- The Extension Principle -- Fuzzy Relations -- Similarity Relations -- Fuzzy Control -- Fuzzy Data Analysis -- Part IV: Bayes and Markov Networks -- Introduction to Bayes Networks -- Elements of Probability and Graph Theory -- Decompositions -- Evidence Propagation -- Learning Graphical Models -- Belief Revision -- Decision Graphs.
520	3		_aThis authoritative textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition to the definitive textbook on Computational Intelligence has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Topics and features: Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools Contains numerous classroom-tested examples and definitions throughout the text Presents useful insights into all that is necessary for the successful application of computational intelligence methods Explains the theoretical background underpinning proposed solutions to common problems Discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms Reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models This accessible text is an essential reference for students of artificial intelligence and intelligent systems, and a valuable resource for all researchers and practitioners seeking a self-study primer on computational intelligence. Rudolf Kruse and Sanaz Mostaghim are professors at the Department of Computer Science of the Otto von Guericke University of Magdeburg, Germany. Christian Borgelt is a principal researcher, and Christian Braune is a research assistant at the same institution. Matthias Steinbrecher is with SAP SE, Potsdam, Germany.
988	0	0	_aEBOOK, EBSPRINGER
650		7	_aInteligencia artificial _2embne _0comprobar BNE19900997218 _9413115
650		7	_aMatemáticas aplicadas _2embne _0comprobar BNE19920885281 _9145503
700	1		_aBraune, Christian _0Local _996538
700	1		_aBorgelt, Christian _9136560
700	1		_aMostaghim, Sanaz _0Local _996539
700	1		_aSteinbrecher, Matthias _0Local _996540
830		0	_aTexts in Computer Science _x1868-0941 _9134061
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4471-7296-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9781447172963
907			_a.b12936790 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQ342 .K787 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11581712 _z06-04-17
998			_b06/2018 _dz _ea _feng _gxxk _h0