An Artificial Neural Networks Approach to Estimate Occupational Accident: A National Perspective for Turkey
Yükleniyor...
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Hindawi Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Occupational 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).
Açıklama
Anahtar Kelimeler
Kaynak
Mathematical Problems In Engineering
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
2014
Sayı
Künye
Ceylan, 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.
