Improved Nelder-Mead Optimization Method in Learning Phase of Artificial Neural Networks

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dc.authoridHasan Erdinç Koçer: 0000-0002-0799-2140
dc.authoridMohammed Hussein Ibrahim: 0000-0002-6093-6105
dc.contributor.authorKoçer, Hasan Erdinç
dc.contributor.authorMerdan, Mustafa
dc.contributor.authorIbrahim, Mohammed Hussein
dc.date.accessioned2020-01-18T21:04:32Z
dc.date.available2020-01-18T21:04:32Z
dc.date.issued2018
dc.departmentNEÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractArtificial neural networks method is the most important/preferred classification algorithm in machine learning area. The weightson the nets in artificial neural directly affect the classification accuracy of artificial neural networks. Therefore, finding optimum values ofthese weights is a difficult optimization problem. In this study, the Nelder-Mead optimization method has been improved and used fortraining of artificial neural networks. The optimum weights of artificial neural networks are determined in the training stage. Theperformance of the proposed improved Nelder-Mead-Artificial neural networks classification algorithm has been tested on the mostcommon datasets from the UCI machine learning repository. The classification results obtained from the proposed improved Nelder-Mead-Artificial neural networks classification algorithm are compared with the results of the standard Nelder-Mead-Artificial neural networksclassification algorithm. As a result of this comparison, the proposed improved Nelder-Mead-Artificial neural networks classificationalgorithm has given best results in all datasets.en_US
dc.identifier.citationIbrahim, M. H., Koçer, H. E., Merdan, M. (2018). Improved Nelder-Mead optimization method in learning phase of artificial neural networks. International Journal of Intelligent Systems and Applications in Engineering, 6, 4, 271-274.en_US
dc.identifier.endpage274en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage271en_US
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpBM09UQXlNZz09/improved-nelder-mead-optimization-method-in-learning-phase-of-artificial-neural-networks
dc.identifier.urihttps://hdl.handle.net/20.500.12452/1857
dc.identifier.volume6en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US]
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial neural networks
dc.subjectNelder-Mead optimization method
dc.subjectTraining algorithm
dc.titleImproved Nelder-Mead Optimization Method in Learning Phase of Artificial Neural Networksen_US
dc.typeArticleen_US

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