An Artificial Neural Networks Approach to Estimate Occupational Accident: A National Perspective for Turkey

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dc.contributor.authorCeylan, Huseyin
dc.date.accessioned2020-06-25T18:12:23Z
dc.date.available2020-06-25T18:12:23Z
dc.date.issued2014
dc.departmentKırıkkale Üniversitesi
dc.description.abstractOccupational accident estimation models were developed by using artificial neural networks (ANNs) for Turkey. Using these models the number of occupational accidents and death and permanent incapacity numbers resulting from occupational accidents were estimated for Turkey until the year of 2025 by the three different scenarios. In the development of the models, insured workers, workplace, occupational accident, death, and permanent incapacity values were used as model parameters with data between 1970 and 2012. 2-5-1 neural network architecture was selected as the best network architecture. Sigmoid was used in hidden layers and linear function was used at output layer. The feed forward back propagation algorithm was used to train the network. In order to obtain a useful model, the network was trained between 1970 and 1999 to estimate the values of 2000 to 2012. The result was compared with the real values and it was seen that it is applicable for this aim. The performances of all developed models were evaluated using mean absolute percent errors (MAPE), mean absolute errors (MAE), and root mean square errors (RMSE).en_US
dc.identifier.citationCeylan, H. "An Artificial Neural Networks Approach to Estimate Occupational Accident: A National Perspective for Turkey", Mathematical Problems in Engineering, vol. 2014, Article ID 756326, 10 pages, 2014.en_US
dc.identifier.doi10.1155/2014/756326
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.scopus2-s2.0-84921283650
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1155/2014/756326
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5892
dc.identifier.volume2014en_US
dc.identifier.wosWOS:000347802700001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherHindawi Ltden_US
dc.relation.ispartofMathematical Problems In Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAn Artificial Neural Networks Approach to Estimate Occupational Accident: A National Perspective for Turkeyen_US
dc.typeArticle

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