HOME
Full Articles List
Search by Author
Title: ANALYZING OF REFERENCE EVAPOTRANSPIRATION USING EXTREME LEARNING MACHINE APPROACH
BibTex 
Open this article in the author's DB |
|
ANALYZING OF REFERENCE EVAPOTRANSPIRATION USING EXTREME LEARNING MACHINE APPROACH
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
1314-2704
|
|
|
|
||
|
|
English
|
|
|
|
18
|
|
|
|
2.1
|
|
|
|
|
|
|
|
||
|
|
Accurate prediction of reference evapotranspiration (ET0) is essential in water resources planning and management of irrigation systems. The ET0was determinate using the FAO-56 Penman-Monteith equation based on the weather data collected in Serbia during the period 1980-2010. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) to estimate and calculate the ET0. The process was implemented for eight input combinations in order to find the most optimal input combination for ET0 prediction. Primary objective of the current study is to evaluate the results of ELM for ET0 prediction for eight input combinations in order to find the most optimal input combination for ET0 prediction. The reliability of the computational model was accessed based on simulation results and using two statistical tests including coefficient of determination and root-mean-square error. Based upon simulation results, it is demonstrated that ELM can be utilized effectively in applications of ET0 predictions. The results could be also used as the benchmark for the future investigation into the reference evapotranspiration.
|
|
|
|
conference
|
|
|
|
||
|
|
||
|
|
18th International Multidisciplinary Scientific GeoConference SGEM 2018
|
|
|
|
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
|
|
|
|
Proceedings Paper
|
|
|
|
STEF92 Technology
|
|
|
|
International Multidisciplinary Scientific GeoConference-SGEM
|
|
|
|
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
|
|
|
|
109-116
|
|
|
|
02-08 July, 2018
|
|
|
|
website
|
|
|
|
cdrom
|
|
|
|
508
|
|
|
|
Reference evapotranspiration; Forecasting; Extreme Learning Machine; Serbia
|
|
Download PDF