Training Product-unit neural networks with Cuckoo optimization algorithm for classification

dc.contributor.authorKahramanlı, Humar
dc.date.accessioned2020-03-26T19:32:35Z
dc.date.available2020-03-26T19:32:35Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this study Product-Unit Neural Networks (PUNN) which is the special classof feed-forward neural networkhas been trained using Cuckoo Optimization algorithm. The trained model has been applied to two classification problems. BUPA liver disorders and Haberman's Survival Data have been used for application. The both data have been obtained from UCI machine Learning Repository. For comparison,Backpropagation (BP) and Levenberg–Marquardt (LM) algorithms have been used. Classification accuracy, sensitivity, specificity and F1 score have been used as statistics to evaluate the success of algorithms. The application results show that the PUNN trained with Cuckoo Optimizationalgorithm is achieved betterclassification accuracy, sensitivity, specificity and F1 scoreen_US
dc.identifier.citationKahramanlı, H. (2017). Training Product-Unit Neural Networks with Cuckoo Optimization Algorithm for Classification. International Journal of Intelligent Systems and Applications in Engineering, 5(4), 252-255.
dc.identifier.endpage255en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issue4en_US
dc.identifier.startpage252en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TWpjeE9EYzJOZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34499
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorKahramanlı, Humar
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.selcuk20240510_oaigen_US
dc.subjectArtificial Neural Network(ANN)en_US
dc.subjectClassificationen_US
dc.subjectBackpropagation (BP)
dc.subjectLevenberg–Marquardt (LM)
dc.subjectCuckoo algorithm
dc.subjectProduct-Unit Neural Networks (PUNN)
dc.titleTraining Product-unit neural networks with Cuckoo optimization algorithm for classificationen_US
dc.typeArticleen_US

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