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020 _a9783662491799
_9978-3-662-49179-9
024 7 _a10.1007/978-3-662-49179-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aIntelligent Computing Systems
_h[electronic resource] :
_bEmerging Application Areas /
_cedited by George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aX, 368 p. 144 illus., 124 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_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 _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 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aTsihrintzis, George A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_961785
700 1 _aVirvou, Maria.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_961786
700 1 _aJain, Lakhmi C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_961787
710 2 _aSpringerLink (Online service)
_961788
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662491775
776 0 8 _iPrinted edition:
_z9783662491782
776 0 8 _iPrinted edition:
_z9783662569900
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v627
_961789
856 4 0 _uhttps://doi.org/10.1007/978-3-662-49179-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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