TY  - JOUR
TT  - Drought Prediction by Using Artificial Neural Networks Approach in Karaman Province
AU  - Sattari, M. Taghi
AU  - Yürekli, Kadri
AU  - Ünlükara, Ali
PY  - 2011
DA  - February
JF  - Reserach Journal of Agricultural Sciences
JO  - Tarım Bilim. Araşt. Derg. (online)
PB  - Anatolia Bilim Akademisi
WT  - DergiPark
SN  - 1308-027X
SP  - 7
EP  - 13
IS  - 1
KW  - Anahtar Kelimeler: Yapay Sinir Ağları
KW  - İleri Beslemeli Geri Yayınım
KW  - SPI
KW  - Karaman.
N2  - This paper presents a methodology on modeling, namely, artificial neural network (ANN), of the meteorological drought.For this purpose, standardized precipitation index (SPI) values at time scales of 3, 6, 9 and 12 months were calculated using monthly rainfalls measured from 1975 to 2009 in Karaman meteorology station. The feed-forward back-propagation (FFBP) method was employed to train the ANNs in the study. The SPI and monthly rainfall data was taken into consideration to constitute input layer in Feed Forward Back Propagation Artificial Nerual Netwoks (FFBPANN). The SPI values from the ANN were compaired with the values calculated from SPI relationship for the period 1999-2009. The FFBPANN performance was evaluated by Mean Square Error (MSE), Normalized Mean Square Error (NMSE), Absolute Mean Error (AME), Absolute Minimum Error (AMinE), Absolute Maximum Error (AMaxE) and Linear Correlation Coefficient (r)
UR  - https://dergipark.org.tr/en/pub/tabad/issue//385114
L1  - https://dergipark.org.tr/en/download/article-file/412846
ER  -