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008			220326s2022 sz a s |||| 0|eng d
020			_a9783030422271
024	7		_a10.1007/978-3-030-42227-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
100	1		_aKruse, Rudolf _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9136559
245	1	0	_aComputational Intelligence : _bA Methodological Introduction _cby Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
250			_aThird edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIV, 639 páginas) _b324 ilustraciones, 42 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aTexts in Computer Science _x1868-095X
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			_aComputational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise and uncertain knowledge and thus also facilitate finding solutions that are approximative, manageable and robust at the same time. Fully updated, this new edition of the authoritative textbook provides a clear and logical introduction to Computational Intelligence, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. Rather than aim for completeness, the goal is to give a methodical introduction, supporting fundamental concepts and their implementations with explanation of the theoretical background of proposed problem solutions. Topics and features: Offers new material on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms Contains numerous classroom-tested examples and definitions Discusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks Reviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models Provides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools This seminal textbook is primarily meant as a companion book for lectures on the covered topics in the area of computational intelligence. However, it is also eminently suitable as a guidebook for self-study by students and practitioners from industry and commerce. Dr. Rudolf Kruse is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.
988			_aSpringer_Computer_2022
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9678664 _aRedes neuronales artificiales
650		7	_2embne _9667195 _aComputación evolutiva
700	1		_aMostaghim, Sanaz _eautor _0(orcid)0000-0002-9917-5227 _1https://orcid.org/0000-0002-9917-5227 _4aut _4http://id.loc.gov/vocabulary/relators/aut _996539
700	1		_aBorgelt, Christian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9136560
700	1		_aBraune, Christian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _996538
700	1		_aSteinbrecher, Matthias _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _996540
776	0	8	_iPrinted edition: _z9783030422264
776	0	8	_iPrinted edition: _z9783030422288
776	0	8	_iPrinted edition: _z9783030422295
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-42227-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _esc _zSI