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Genetic procedure for optimization of RBF neural network center positioning [articol]

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dc.contributor.author Vizitiu, Iulian C.
dc.contributor.author Ciotîrnae, Petrică
dc.date.accessioned 2020-04-15T06:57:37Z
dc.date.accessioned 2021-03-01T08:37:24Z
dc.date.available 2020-04-15T06:57:37Z
dc.date.available 2021-03-01T08:37:24Z
dc.date.issued 2008
dc.identifier.citation Vizitiu, Iulian C.. Genetic procedure for optimization of RBF neural network center positioning. Timişoara: Editura Politehnica, 2008 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Genetic%20procedure%20for%20optimization%20of%20RBF%20neural%20network%20center%20positioning&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract According to RBF neural network theory, it is well known that the (recognition) performances of these architectures depend a lot by the positioning method of centers into input dataspace. Using the affiliation of genetic algorithms to the class of the global searching techniques, and their ability to offer very good results in solving of complex optimization problems, it is justified the attempt to select RBF neural network centers through a suitable genetic procedure. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 1 (2008), p. 91-94
dc.subject RBF neural network en_US
dc.subject Genetic algorithms en_US
dc.subject Pattern recognition en_US
dc.title Genetic procedure for optimization of RBF neural network center positioning [articol] en_US
dc.type Article en_US


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