04270nam 22006375 450 99646559320331620230105001425.03-540-49581-910.1007/3-540-61988-7(CKB)1000000000234559(SSID)ssj0000323407(PQKBManifestationID)11237068(PQKBTitleCode)TC0000323407(PQKBWorkID)10299878(PQKB)10668551(DE-He213)978-3-540-49581-9(PPN)155180851(EXLCZ)99100000000023455920121227d1996 u| 0engurnn#008mamaatxtccrFuzzy Logic, Neural Networks, and Evolutionary Computation[electronic resource] IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers /edited by Takeshi Furuhashi, Yoshiki Uchikawa1st ed. 1996.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1996.1 online resource (X, 250 p.)Lecture Notes in Artificial Intelligence ;1152Bibliographic Level Mode of Issuance: Monograph3-540-61988-7 The 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.This 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.Lecture Notes in Artificial Intelligence ;1152Mathematical logicArtificial intelligenceComputersMathematical Logic and Foundationshttps://scigraph.springernature.com/ontologies/product-market-codes/M24005Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Mathematical logic.Artificial intelligence.Computers.Mathematical Logic and Foundations.Artificial Intelligence.Mathematical Logic and Formal Languages.Computation by Abstract Devices.006.3/1Furuhashi Takeshiedthttp://id.loc.gov/vocabulary/relators/edtUchikawa Y(Yoshiki),1941-2001,edthttp://id.loc.gov/vocabulary/relators/edtIEEE/Nagoya University World Wisepersons WorkshopBOOK996465593203316Fuzzy Logic, Neural Networks, and Evolutionary Computation2831791UNISA