- Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
- Vol: 17 Issue: 1
- Yapay Sinir Ağı Yaklaşımıyla Çinko Kalınlığının Tahminlenmesi
Yapay Sinir Ağı Yaklaşımıyla Çinko Kalınlığının Tahminlenmesi
Authors : Tuğçen Hatipoğlu, Semra Boran, Burcu Özcan, Alpaslan Fığlalı
Pages : 61-69
Doi:10.16984/saufbed.59229
View : 24 | Download : 9
Publication Date : 2013-04-01
Article Type : Other
Abstract :Since the competition level among the companies is increasing day by day, meeting customer demands with qualified products and cost reduction are primary goals of each company. And zinc, the main raw material in galvanization sector, is the most important cost item. So it is required to forecast the amount of zinc to be spent. In this study it is tried to forecast the amount of zinc consumption using the artificial neural network (ANN) method. To evaluate the convenience of values hypothesis tests are done; and the results showed that there is no significant difference between the predicted and real outputs statistically.Keywords : Tahminleme, Metasezgisel, Yapay sinir ağları, Kaplama kalınlığı