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010   $a3-540-49581-9
024 7 $a10.1007/3-540-61988-7
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035   $a(PQKBTitleCode)TC0000323407
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035   $a(DE-He213)978-3-540-49581-9
035   $a(PPN)155180851
035   $a(EXLCZ)991000000000234559
100   $a20121227d1996      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aFuzzy Logic, Neural Networks, and Evolutionary Computation$b[electronic resource] $eIEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers /$fedited by Takeshi Furuhashi, Yoshiki Uchikawa
205   $a1st ed. 1996.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1996.
215   $a1 online resource (X, 250 p.)
225 1 $aLecture Notes in Artificial Intelligence ;$v1152
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-61988-7 
327   $aThe design of hybrid fuzzy/evolutionary multiobjective optimization algorithms -- Structure identification of acquired knowledge in fuzzy inference by genetic algorithms -- A fuzzy classifier system that generates linguistic rules for pattern classification problems -- Numerical coding and unfair average crossover in GA for fuzzy rule extraction in dynamic environments -- Acquisition of fuzzy rules from DNA coding method -- Experimental study on acquisition of optimal action for autonomous mobile robot to avoid moving multiobstacles -- New approaches on structure identification of fuzzy models: Case study in an electro-mechanical system -- A generic fuzzy neuron and its application to motion estimation -- Fizzy-Fuzzy inferencing -- Multi-layer perceptron design using Delaunay triangulations -- A genetic algorithm for planning coal purchase of a real electric power plant -- ?CAM-Brain? ATR's billion neuron artificial brain project a three year progress report.
330   $aThis book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995. The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.
410  0$aLecture Notes in Artificial Intelligence ;$v1152
606   $aMathematical logic
606   $aArtificial intelligence
606   $aComputers
606   $aMathematical Logic and Foundations$3https://scigraph.springernature.com/ontologies/product-market-codes/M24005
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
615  0$aMathematical logic.
615  0$aArtificial intelligence.
615  0$aComputers.
615 14$aMathematical Logic and Foundations.
615 24$aArtificial Intelligence.
615 24$aMathematical Logic and Formal Languages.
615 24$aComputation by Abstract Devices.
676   $a006.3/1
702   $aFuruhashi$b Takeshi$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aUchikawa$b Y$g(Yoshiki),$f1941-2001,$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aIEEE/Nagoya University World Wisepersons Workshop
906   $aBOOK
912   $a996465593203316
996   $aFuzzy Logic, Neural Networks, and Evolutionary Computation$92831791
997   $aUNISA