A systems software architecture for training neural, fuzzy neural and genetic computational intelligent networks

dc.authorscopusid6506505859
dc.authorscopusid7801329641
dc.authorscopusid6603729203
dc.contributor.authorArsan, Taner
dc.contributor.authorÖǧrenci,A.S.
dc.contributor.authorSaydam,T.
dc.date.accessioned2024-10-15T19:41:16Z
dc.date.available2024-10-15T19:41:16Z
dc.date.issued2006
dc.departmentKadir Has Universityen_US
dc.department-tempArsan T., Kadir Has University, 34230 Cibali-Istanbul, Turkey; Öǧrenci A.S., Kadir Has University, 34230 Cibali-Istanbul, Turkey; Saydam T., Kadir Has University, 34230 Cibali-Istanbul, Turkeyen_US
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. © 2006 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/ijcnn.2006.247282
dc.identifier.endpage5280en_US
dc.identifier.isbn0780394909
dc.identifier.isbn978-078039490-2
dc.identifier.issn1098-7576
dc.identifier.scopus2-s2.0-40649104334
dc.identifier.scopusqualityN/A
dc.identifier.startpage5275en_US
dc.identifier.urihttps://doi.org/10.1109/ijcnn.2006.247282
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6424
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE International Conference on Neural Networks - Conference Proceedings -- International Joint Conference on Neural Networks 2006, IJCNN '06 -- 16 July 2006 through 21 July 2006 -- Vancouver, BC -- 71528en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword Available]en_US
dc.titleA systems software architecture for training neural, fuzzy neural and genetic computational intelligent networksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication7959ea6c-1b30-4fa0-9c40-6311259c0914
relation.isAuthorOfPublication.latestForDiscovery7959ea6c-1b30-4fa0-9c40-6311259c0914

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