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dc.contributor.authorArsan, Taner
dc.contributor.authorÖǧrenci, Arif Selçuk
dc.contributor.authorSaydam, Tuncay
dc.date.accessioned2019-06-27T08:06:54Z
dc.date.available2019-06-27T08:06:54Z
dc.date.issued2006
dc.identifier.isbn978-0-7803-9490-2
dc.identifier.issn2161-4393
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1241
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1716833
dc.description.abstractA systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and optimization guidelines are provided and extensively discussed. Qualitative comparisons of neural training strategies have been provided.
dc.language.isoEnglish
dc.publisherIEEE
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleA systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
dc.typeProceedings Paper
dc.identifier.startpage5275
dc.identifier.endpage5280
dc.relation.journal2006 IEEE International Joint Conference On Neural Network Proceedings, Vols 1-10
dc.identifier.wosWOS:000245125909062
dc.contributor.khasauthorArsan, Taner
dc.contributor.khasauthorÖǧrenci, Arif Selçuk
dc.contributor.khasauthorSaydam, Tuncay


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