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001445508 001__ 1445508
001445508 003__ OCoLC
001445508 005__ 20230310003835.0
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001445508 020__ $$a9783030422271$$q(electronic bk.)
001445508 020__ $$a3030422275$$q(electronic bk.)
001445508 020__ $$z9783030422264
001445508 020__ $$z3030422267
001445508 0247_ $$a10.1007/978-3-030-42227-1$$2doi
001445508 035__ $$aSP(OCoLC)1306219152
001445508 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dEBLCP$$dUKAHL$$dOCLCQ
001445508 049__ $$aISEA
001445508 050_4 $$aQ342$$b.K78 2022
001445508 050_4 $$aTA347.A78
001445508 08204 $$a006.3$$223
001445508 1001_ $$aKruse, Rudolf,$$eauthor.
001445508 24510 $$aComputational intelligence :$$ba methodological introduction /$$cRudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher.
001445508 250__ $$aThird edition.
001445508 264_1 $$aCham :$$bSpringer,$$c[2022]
001445508 264_4 $$c©2022
001445508 300__ $$a1 online resource :$$billustrations (some color).
001445508 336__ $$atext$$btxt$$2rdacontent
001445508 337__ $$acomputer$$bc$$2rdamedia
001445508 338__ $$aonline resource$$bcr$$2rdacarrier
001445508 4901_ $$aTexts in computer science
001445508 500__ $$aPrevious edition: 2016.
001445508 504__ $$aIncludes bibliographical references and index.
001445508 5050_ $$aIntroduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical Remarks for Neural Networks -- Part II: Evolutionary Algorithms -- Introduction to Evolutionary Algorithms -- Elements of Evolutionary Algorithms -- Fundamental Evolutionary Algorithms -- Computational Swarm Intelligence -- Part III: Fuzzy Systems -- Fuzzy Sets and Fuzzy Logic -- The Extension Principle -- Fuzzy Relations -- Similarity Relations -- Fuzzy Control -- Fuzzy Data Analysis -- Part IV: Bayes and Markov Networks -- Introduction to Bayes Networks -- Elements of Probability and Graph Theory -- Decompositions -- Evidence Propagation -- Learning Graphical Models -- Belief Revision -- Decision Graphs.
001445508 506__ $$aAccess limited to authorized users.
001445508 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.
001445508 588__ $$aDescription based on print version record.
001445508 650_0 $$aComputational intelligence.
001445508 650_6 $$aIntelligence informatique.
001445508 655_0 $$aElectronic books.
001445508 7001_ $$aMostaghim, Sanaz,$$eauthor.
001445508 7001_ $$aBorgelt, Christian,$$eauthor.
001445508 7001_ $$aBraune, Christian,$$eauthor.
001445508 7001_ $$aSteinbrecher, Matthias,$$eauthor.
001445508 77608 $$iPrint version:$$aKruse, Rudolf.$$tComputational intelligence.$$bThird edition.$$dCham : Springer, 2022$$z9783030422264$$w(OCoLC)1295104991
001445508 830_0 $$aTexts in computer science.
001445508 852__ $$bebk
001445508 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-42227-1$$zOnline Access$$91397441.1
001445508 909CO $$ooai:library.usi.edu:1445508$$pGLOBAL_SET
001445508 980__ $$aBIB
001445508 980__ $$aEBOOK
001445508 982__ $$aEbook
001445508 983__ $$aOnline
001445508 994__ $$a92$$bISE