Estimation of the solar pond temperatures using artificial neural network
Yükleniyor...
Dosyalar
Tarih
2004
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selcuk University Research Center of Applied Mathematics
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, the temperatures at different depths of the solar pond in Yalvawere predicted using Artificial Neural Network (ANN). Although the temperatures of the different depths of the solar pond with dimensions of 3.5x3.5x2 m, which was built in order to provide hot water for leather workshop, were measured, temperatures of the all points couldn't be obtained. The temperatures of unmeasured points were predicted with the 90ANN method using existing temperature data. The predicted values of the ANN were compared with real values. As a result, the temperatures at unmeasured points of the solar pond were successfully predicted by the ANN method.
Açıklama
http://sjam.selcuk.edu.tr/sjam/article/view/136
Anahtar Kelimeler
Solar energy, Solar pond, Artificial neural network, Güneş enerjisi, Güneş havuzları, Yapay sinir ağı
Kaynak
Selcuk Journal of Applied Mathematics
WoS Q Değeri
Scopus Q Değeri
Cilt
5
Sayı
Künye
Bezir, N. Ç., Şencan, A., Özek, N., Yakut, A. K. (2004). Estimation of the solar pond temperatures using artificial neural network. Selcuk Journal of Applied Mathematics, 5 (1), 39-48.
