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001 978-3-319-55989-6
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005 20220801221558.0
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020 _a9783319559896
_9978-3-319-55989-6
024 7 _a10.1007/978-3-319-55989-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aZhang, Gexiang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956827
245 1 0 _aReal-life Applications with Membrane Computing
_h[electronic resource] /
_cby Gexiang Zhang, Mario J. Pérez-Jiménez, Marian Gheorghe.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXII, 355 p. 148 illus., 54 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 _aEmergence, Complexity and Computation,
_x2194-7295 ;
_v25
505 0 _aMembrane Computing - Key Concepts and Definitions -- Fundamentals of Evolutionary Computation -- Membrane Algorithms -- Engineering Optimization with Membrane Algorithms -- Electric Power System Fault Diagnosis with Membrane Systems -- Robot Control with Membrane Systems -- Data Modeling with Membrane Systems: Applications to Real Ecosystems.
520 _aThis book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications – including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions – the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aDynamics.
_956828
650 0 _aNonlinear theories.
_93339
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aApplied Dynamical Systems.
_932005
700 1 _aPérez-Jiménez, Mario J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956829
700 1 _aGheorghe, Marian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956830
710 2 _aSpringerLink (Online service)
_956831
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319559872
776 0 8 _iPrinted edition:
_z9783319559889
776 0 8 _iPrinted edition:
_z9783319857985
830 0 _aEmergence, Complexity and Computation,
_x2194-7295 ;
_v25
_956832
856 4 0 _uhttps://doi.org/10.1007/978-3-319-55989-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79822
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