Reservoir release forecasting by artificial neural network at Pa Sak Jolasid Dam

Due to floods in the past year The Pa Sak River Basin is therefore another watershed source that causes widespread damage to life and property. An interesting predictive study of the dam release is therefore an experimental idea. Using data recorded at the beginning of '64 using artificial neural networks techniques, compared with a support vector regression model. Estimated for satisfactory results by an ANN precision model R2 approximately 0.88513 RMSE approximately 8.044 and the SVR model R2 result. Approx. 0.43369 RMSE Approx. 18.484.