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020 _a9783319272672
_9978-3-319-27267-2
024 7 _a10.1007/978-3-319-27267-2
_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 _aInnovative Issues in Intelligent Systems
_h[electronic resource] /
_cedited by Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 353 p. 168 illus., 65 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 ;
_v623
505 0 _aA realistic Overview of Intelligent Systems in Industry -- Prediction of the Attention Area in Ambient Intelligence Tasks Using Adaptive Neuro-Fuzzy Inference System (ANFIS) -- Chapter III. Integration of Knowledge Components in Hybrid Intelligent Control Systems -- Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories -- Logical Operations and Inference in the Complex S-logic -- Generalized Nets as Tools for Modelling of Data Mining Processes -- Induction of Modular Classification Rules by Information Entropy Based Rule Generation -- Proposals for Knowledge Driven and Data Driven Applications in Security Systems -- On intuitionistic Fuzzy Operators from Modal Types -- Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design -- Multistep Modeling for Approximation and Classification by Use of RBF Network Models.
520 _aThis book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation “thinking machines” as well as for other futuristic logical applications that are rapidly changing our world nowadays.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aSgurev, Vassil.
_eeditor.
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700 1 _aYager, Ronald R.
_eeditor.
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_1https://orcid.org/0000-0003-2938-1858
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_953612
700 1 _aKacprzyk, Janusz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953613
700 1 _aJotsov, Vladimir.
_eeditor.
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_953614
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319272665
776 0 8 _iPrinted edition:
_z9783319272689
776 0 8 _iPrinted edition:
_z9783319801049
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
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_953616
856 4 0 _uhttps://doi.org/10.1007/978-3-319-27267-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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