RAINFALL-RUNOFF FORECASTING UTILIZING GENETIC PROGRAMMING TECHNIQUE
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.10, No. 1)Publication Date: 2019-03-16
Authors : Ali N. Ahmed Gasim Hayder Raihana Aliya Binti Abdul Rahman; Abdoulhdi A. Borhana;
Page : 1523-1534
Keywords : Forecasting; Genetic Programming; Rainfall; Root Mean Squared Error; Runoff;
Abstract
This paper reports how the rainfall-runoff is forecasted utilizing Genetic Programming (GP) technique. It is a program that was inspired by biological processes such as mutation, crossover, and inversion in order to create a new generation. It is a program that will learn and improve with each analysis done. It uses a trial an error method in order to forecast rainfall-runoff. GP uses Root Mean Squared Error (RMSE) as an indication of how accurate the results of the forecast. The lower and closer the RMSE to zero, the more accurate the rainfall-runoff forecasted. The study consists of running the data on the software until the lowest RMSE is obtained. This research contains three models which use a different number of input variables to see whether it will give an impact on the rainfall-runoff forecasting. The results are compared and a bar chart is plotted.
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