SCIENCE & TECHNOLOGY Artificial Neural Network for Modelling Rainfall-Runoff

Aida Tayebiyan, Ahmad Mohammad, Abdul Ghazali, Syamsiah Mashohor, Aida Tayebiyan, Ahmad Mohammad, Abdul Ghazali, Syamsiah Mashohor
2016 Pertanika J. Sci. & Technol   unpublished
The use of an artificial neural network (ANN) is becoming common due to its ability to analyse complex nonlinear events. An ANN has a flexible, convenient and easy mathematical structure to identify the nonlinear relationships between input and output data sets. This capability could efficiently be employed for the different hydrological models such as rainfall-runoff models, which are inherently nonlinear in nature and therefore, representing their physical characteristics is challenging. In
more » ... s challenging. In this research, ANN modelling is developed with the use of the MATLAB toolbox for predicting river stream flow coming into the Ringlet reservoir in Cameron Highland, Malaysia. A back propagation algorithm is used to train the ANN. The results indicate that the artificial neural network is a powerful tool in modelling rainfall-runoff. The obtained results could help the water resource managers to operate the reservoir properly in the case of extreme events such as flooding and drought.