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Applications on fuzzy neural networks

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dc.contributor.authorsAyyildiz M., Katrancioʇlu S., Vayvay Ö.
dc.date.accessioned2022-03-28T15:03:52Z
dc.date.accessioned2026-01-11T11:45:38Z
dc.date.available2022-03-28T15:03:52Z
dc.date.issued2014
dc.description.abstractNeural Network Technology is being used for a long time as an artificial intelligence. As a powerful tool it can handle many different challenging problems. Like all techniques neural network also has some weak points and needs to be supported. For this, Fuzzy technology and neural networks are joined to form a better solution tool. By using the powerful sides of both techniques a more effective technique can be created. In this paper, applications on Fuzzy Neural networks are studied by the view of applying technique on problems. Differences and the key points are revealed on the applications.
dc.identifier.urihttps://hdl.handle.net/11424/256976
dc.language.isoeng
dc.publisherComputers and Industrial Engineering
dc.relation.ispartofCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFuzzy logic
dc.subjectFuzzy neural network
dc.subjectNeural network applications
dc.titleApplications on fuzzy neural networks
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage1487
oaire.citation.startPage1480
oaire.citation.titleCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings

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