Future projection and the sales of industrial wood in Turkey: artificial neural networks

İlker AKYÜZ

Makale detayları

Future projection and the sales of industrial wood in Turkey: artificial neural networks

Yazarlar:

İlker AKYÜZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2019 Vol.43 Issue 3, pp.368-377

Belge Tipi:

Makale

Yayın Tarihi:

5/2019

Belge Dili:

Türkçe

Document ID (Org No.):

2000806227

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X

Özet:

 

In this study, it was aimed to determine artificial neural network models with different architectures using artificial neural  network (ANN) methods used in future prediction studies in recent times and forecast the sales quantities of industrial wood in Turkey  with the help of models. The sales quantities of logs, mining poles, other industrial wood, pulpwood, fiber-chip wood, and the total of  these five wood groups were analyzed separately. The data used in this study was obtained from the General Directorate of Forestry  of Turkey and cumulative monthly data covering the period from January 2001 to December 2016 were used. The most suitable ANN  models were determined using performance criteria such as mean absolute percentage error (MAPE), root mean square error (RMSE),  and determination coefficient (R2). As a result, the R2 and MAPE values of the ANN models were found to be above 99% and below 6%,  respectively. The ANNs can be used as a good tool in industrial wood sales forecasts.

Makale detayları

Future projection and the sales of industrial wood in Turkey: artificial neural networks

Yazarlar: İlker AKYÜZ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Agriculture and Forestry 2019 Vol.43 Issue 3, pp.368-377

Belge Tipi: Makale

Yayın Tarihi: 5/2019

Belge Dili: Türkçe

Document ID (Org No.): 2000806227

Sıklık: İki Aylık

eISSN: 1303-6173

pISSN: 1300-011X

Sayı

Yazarlar:

İlker AKYÜZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2019 Vol.43 Issue 3, pp.368-377

Belge Tipi:

Makale

Yayın Tarihi:

5/2019

Belge Dili:

Türkçe

Document ID (Org No.):

2000806227

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X