Artificial neural networks: Review

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dc.contributor.authorYazici A.C.
dc.contributor.authorÖğüş E.
dc.contributor.authorAnkarali S.
dc.contributor.authorCanan S.
dc.contributor.authorAnkarali H.
dc.contributor.authorAkkuş Z.
dc.date.accessioned2024-04-24T18:43:38Z
dc.date.available2024-04-24T18:43:38Z
dc.date.issued2007
dc.departmentDicle Üniversitesien_US
dc.description.abstractArtificial neural networks (ANNs) are computer softwares that were developed by simulating the working mechanism of human brain to accomplish the basic functions of the brain. ANNs have capability to learn, remember and then generalize the data to produce new information, and to detect the relationships between variables. There are considerable relations between the statistical methods and the neural networks. In the present study, biological neural network and neurons of the human brain and the general structure of ANNs were introduced. Then ANNs' relations with the statistical methods were investigated. ANNs' advantages and disadvantages as statistical methods were discussed. Many neural networks methods are considered generalizations of some of the classical statistical techniques. Generally, in statistics ANNs are used as flexible, nonlinear regression and classification models. Many neural network architectures have close links with the nonparametric statistical methods. Results may be obtained by training the feed forward ANNs algorithms with the nonlinear models of many statistical techniques. Copyright © 2007 by Türkiye Klinikleri.en_US
dc.identifier.endpage71en_US
dc.identifier.issn1300-0292
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-33947727246
dc.identifier.scopusqualityQ4
dc.identifier.startpage65en_US
dc.identifier.urihttps://hdl.handle.net/11468/24236
dc.identifier.volume27en_US
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherTurkiye Kliniklerien_US
dc.relation.ispartofTurkiye Klinikleri Journal of Medical Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBrainen_US
dc.subjectClassificationen_US
dc.subjectNeural Networksen_US
dc.subjectNeuronsen_US
dc.subjectNonlinear Dynamicsen_US
dc.titleArtificial neural networks: Reviewen_US
dc.titleArtificial neural networks: Review
dc.title.alternativeYapay sinir ağlarina genel bakişen_US
dc.title.alternativeYapay sinir ağlarina genel bakiş
dc.typeReview Articleen_US

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