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020 _a9783662491799
040 _aES-MaUEC
050 4 _aQ335
_b.I584 2016
082 0 4 _a006.3
245 1 0 _aIntelligent Computing Systems :
_bEmerging Application Areas
_cedited by George A Tsihrintzis, Maria Virvou, Lakhmi C Jain
250 _a1st ed.
260 _aBerlin, Heidelberg
_bSpringer Berlin Heidelberg
_c2016
300 _a1 recurso en línea (X, 368 páginas)
_b144 ilustraciones, 20 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v627
505 0 _aEditorial -- Semantic tools; Their <use for Knowledge Management in the Public Sector -- Semantic Tools; Their Use for Knowledge Management in the Public Sector -- A Semantic Approach for Representing and Querying Business Processes -- Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities -- Spatial Environments for m-learning: Review and Potentials -- Science Teachers� Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece -- Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machines for Fault Identification with Application to Boiling Water Reactors -- A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization -- An Energy Management Platform for Smart Microgrids -- Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System -- Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-matrices of Self Organising Maps -- Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization -- Sotirios Spanogianopoulos and Konstantinos Sirlantzis -- Computing a Similarity Coefficient for Mining Massive Data Sets -- A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space.
520 3 _aThis book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous. The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
650 7 _aInteligencia artificial
_0comprobar BNE19900997218
_2embne
_9413115
700 1 _aTsihrintzis, George A.
_eeditor literario
_9100283
_0Local
700 1 _aVirvou, Maria
_eeditor literario
_0Local
_9100284
700 _aJain, Lakhmi C.
_eeditor literario
_0Local
_996931
710 2 _aSpringerLink (Online service)
_0Local
_9106996
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-49179-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783662491799
907 _a.b12957914
_b10-10-17
_c21-11-16
942 _2lcc
_cLE
945 _aQ335 .I584 2016 EB
_g1
_ieBOOK
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_z06-04-17
988 _aEBOOK, asignarmaterias , EBSPRINGER
998 _am
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