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008 230829t2022 sz a fob 001 0 eng d
020 _a9783030422271
040 _aWaSeSS
_beng
_dWaSeSS
_dEG-CaNGU
_cEG-CaNGU
_erda
100 1 _aKruse, Rudolf,
_eauthor.
_95554
245 1 0 _aComputational intelligence :
_ba methodological introduction /
250 _aThird edition.
264 1 _aCham, Switzerland :
_bSpringer Nature,
_c[2022]
264 4 _c©2022
300 _a1 online resource (xiv, 639 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aTexts in computer science,
_x1868-095X
504 _aIncludes bibliographical references and index.
505 0 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.
506 _aAvailable on campus and off campus with authorized login.
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.
650 7 _aArtificial intelligence
_2NGU-sh
_94811
650 7 _aEngineering mathematics
_2NGU-sh
_94954
650 7 _aEngineering
_xdata processing.
_2NGU-sh
_95555
650 7 _aComputational intelligence.
_2NGU-sh
_95544
650 7 _aComputer science
_2NGU-sh
_93903
655 7 _aElectronic books.
_2NGU-sh
_91203
700 1 _aMostaghim, Sanaz,
_eauthor.
_95556
700 1 _aBorgelt, Christian,
_eauthor.
_95557
700 1 _aBraune, Christian,
_eauthor.
_95558
700 1 _aSteinbrecher, Matthias,
_eauthor.
_95559
700 1 _aKlawonn, F.,
_eauthor.
_95560
700 1 _aMoewes, Christian,
_eauthor.
_95561
856 4 0 _aOnline resource.
_uhttps://link.springer.com/book/10.1007/978-3-030-42227-1
_zOnline resource.
999 _c1934
_d1934