Year 2013, Volume 37 , Issue 2, Pages 211 - 219 2013-02-01

M5 model trees and neural network based modelling of ET0 in Ankara, Turkey
M5 model trees and neural network based modelling of ET0 in Ankara, Turkey

Mohammad Taghi SATTARI [1] , Mahesh PAL [2] , Kadri YÜREKLİ [3] , Ali ÜNLÜKARA [4]


This paper investigates the potential of back propagation neural network and M5 model tree based regression approaches to model monthly reference evapotranspiration using climatic data of an area around Ankara, Turkey. Input parameters include monthly total sunshine hours, air temperature, relative humidity, wind speed, rainfall, and monthly time index, whereas the reference evapotranspiration calculated by FAO--56 Penman--Monteith was used as an output for both approaches. Mean square error, correlation coefficient, and several other statistics were considered to compare the performance of both modeling approaches. The results suggest a better performance by the neural network approach with this dataset, but M5 model trees, being analogous to piecewise linear functions, provide a simple linear relation for prediction of evapotranspiration for the data ranges used in this study. Different scenario analysis with neural networks suggests that rainfall data does not have any influence in predicting evapotranspiration.
This paper investigates the potential of back propagation neural network and M5 model tree based regression approaches to model monthly reference evapotranspiration using climatic data of an area around Ankara, Turkey. Input parameters include monthly total sunshine hours, air temperature, relative humidity, wind speed, rainfall, and monthly time index, whereas the reference evapotranspiration calculated by FAO--56 Penman--Monteith was used as an output for both approaches. Mean square error, correlation coefficient, and several other statistics were considered to compare the performance of both modeling approaches. The results suggest a better performance by the neural network approach with this dataset, but M5 model trees, being analogous to piecewise linear functions, provide a simple linear relation for prediction of evapotranspiration for the data ranges used in this study. Different scenario analysis with neural networks suggests that rainfall data does not have any influence in predicting evapotranspiration.
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Primary Language tr
Journal Section Articles
Authors

Author: Mohammad Taghi SATTARI

Author: Mahesh PAL

Author: Kadri YÜREKLİ

Author: Ali ÜNLÜKARA

Dates

Publication Date : February 1, 2013

Bibtex @ { tbtkengineering144903, journal = {Turkish Journal of Engineering and Environmental Sciences}, issn = {1300-0160}, eissn = {1303-6157}, address = {}, publisher = {TUBITAK}, year = {2013}, volume = {37}, pages = {211 - 219}, doi = {10.3906/muh-1212-5}, title = {M5 model trees and neural network based modelling of ET0 in Ankara, Turkey}, key = {cite}, author = {SATTARI, Mohammad Taghi and PAL, Mahesh and YÜREKLİ, Kadri and ÜNLÜKARA, Ali} }
APA SATTARI, M , PAL, M , YÜREKLİ, K , ÜNLÜKARA, A . (2013). M5 model trees and neural network based modelling of ET0 in Ankara, Turkey. Turkish Journal of Engineering and Environmental Sciences , 37 (2) , 211-219 . DOI: 10.3906/muh-1212-5
MLA SATTARI, M , PAL, M , YÜREKLİ, K , ÜNLÜKARA, A . "M5 model trees and neural network based modelling of ET0 in Ankara, Turkey". Turkish Journal of Engineering and Environmental Sciences 37 (2013 ): 211-219 <https://dergipark.org.tr/en/pub/tbtkengineering/issue/12120/144903>
Chicago SATTARI, M , PAL, M , YÜREKLİ, K , ÜNLÜKARA, A . "M5 model trees and neural network based modelling of ET0 in Ankara, Turkey". Turkish Journal of Engineering and Environmental Sciences 37 (2013 ): 211-219
RIS TY - JOUR T1 - M5 model trees and neural network based modelling of ET0 in Ankara, Turkey AU - Mohammad Taghi SATTARI , Mahesh PAL , Kadri YÜREKLİ , Ali ÜNLÜKARA Y1 - 2013 PY - 2013 N1 - doi: 10.3906/muh-1212-5 DO - 10.3906/muh-1212-5 T2 - Turkish Journal of Engineering and Environmental Sciences JF - Journal JO - JOR SP - 211 EP - 219 VL - 37 IS - 2 SN - 1300-0160-1303-6157 M3 - doi: 10.3906/muh-1212-5 UR - https://doi.org/10.3906/muh-1212-5 Y2 - 2020 ER -
EndNote %0 Turkish Journal of Engineering and Environmental Sciences M5 model trees and neural network based modelling of ET0 in Ankara, Turkey %A Mohammad Taghi SATTARI , Mahesh PAL , Kadri YÜREKLİ , Ali ÜNLÜKARA %T M5 model trees and neural network based modelling of ET0 in Ankara, Turkey %D 2013 %J Turkish Journal of Engineering and Environmental Sciences %P 1300-0160-1303-6157 %V 37 %N 2 %R doi: 10.3906/muh-1212-5 %U 10.3906/muh-1212-5
ISNAD SATTARI, Mohammad Taghi , PAL, Mahesh , YÜREKLİ, Kadri , ÜNLÜKARA, Ali . "M5 model trees and neural network based modelling of ET0 in Ankara, Turkey". Turkish Journal of Engineering and Environmental Sciences 37 / 2 (February 2013): 211-219 . https://doi.org/10.3906/muh-1212-5
AMA SATTARI M , PAL M , YÜREKLİ K , ÜNLÜKARA A . M5 model trees and neural network based modelling of ET0 in Ankara, Turkey. Turkish Journal of Engineering and Environmental Sciences. 2013; 37(2): 211-219.
Vancouver SATTARI M , PAL M , YÜREKLİ K , ÜNLÜKARA A . M5 model trees and neural network based modelling of ET0 in Ankara, Turkey. Turkish Journal of Engineering and Environmental Sciences. 2013; 37(2): 219-211.

Authors of the Article
Mohammad Taghi SATTARI [1]
Mahesh PAL [2]
Kadri YÜREKLİ [3]
Ali ÜNLÜKARA [4]