FORECASTING THE RAINFALL DATA BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Küçük Resim Yok
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
INT SCIENTIFIC CONFERENCE SGEM
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Konya is the biggest city of Turkey in terms of area and agricultural land, on the other hand sixth biggest city in terms of population. Because of the decrease of rainfall and increase in temperature, the agricultural production and daily water consumption are effected negatively in last years. Rainfall, one of the basic parameters of the hydrological cycle, has a big importance to determine the water budgets and to improve the water supply policy. In this study, monthly total rainfall data belong to Konya between 1970-2002 years, have been studied to forecast by Adaptive Neuro-Fuzzy Inference System (ANFIS). And model's performance has been evaluated by comparison with the Lineer Regression (LR) as one of the traditional methods.
Açıklama
9th International Multidisciplinary Scientific Geo-Conference and Expo -- JUN 14-19, 2009 -- Albena, BULGARIA
Anahtar Kelimeler
ANFIS, Regression, Rainfall Forecasting
Kaynak
SGEM 2009: 9TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, VOL II, CONFERENCE PROCEEDING: MODERN MANAGEMENT OF MINE PRODUCING, GEOLOGY AND ENVIRONMENTAL PROTECTION
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
