Training of artificial neural network using metaheuristic algorithm

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dc.contributor.authorAlwaisi, Shaimaa
dc.contributor.authorBaykan, Ömer Kaan
dc.date.accessioned2020-03-26T19:32:34Z
dc.date.available2020-03-26T19:32:34Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis article clarify enhancing classification accuracy of Artificial Neural Network (ANN) by using metaheuristic optimizationalgorithm. Classification accuracy of ANN depends on the well-designed ANN model. Well-designed ANN model Based on the structure,activation function that are utilized for ANN nodes, and the training algorithm which are used to detect the correct weight for each node.In our paper we are focused on improving the set of synaptic weights by using Shuffled Frog Leaping metaheuristic optimization algorithmwhich are determine the correct weight for each node in ANN model. We used 10 well known datasets from UCI machine learningrepository. In order to investigate the performance of ANN model we used datasets with different properties. These datasets havecategorical, numerical and mixed properties. Then we compared the classification accuracy of proposed method with the classificationaccuracy of back propagation training algorithm. The results showed that the proposed algorithm performed better performance in the mostused datasets.en_US
dc.identifier.citationAlwaisi, S., Baykan, O. K. (2017). Training of Artificial Neural Network Using Metaheuristic Algorithm. International Journal of Intelligent Systems and Applications in Engineering, Special Issue, 12-16.
dc.identifier.endpage16en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issueSpecial Issueen_US
dc.identifier.startpage12en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TXpBM09EZzBOQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34498
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorAlwaisi, Shaimaa
dc.institutionauthorBaykan, Ömer Kaan
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 Networken_US
dc.subjectMetaheuristic Optimization algorithmen_US
dc.subjectBack propagation Algorithm
dc.subjectShuffled Frog Leaping algorithm
dc.titleTraining of artificial neural network using metaheuristic algorithmen_US
dc.typeArticleen_US

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