Comparison of Back Propagation Neural Network and Genetic Algorithm Neural Network for Stream Flow Prediction

Table 3

Efficiency for test cases of the models developed.

	GANN	BPNN
Nash Sutcliffe (NS)	0.847	0.815
Coefficient of determination ()	0.901	0.881
Mean Absolute Error (MAE) m^3/s	167	182
Root Mean Square Error (RMSE) m^3/s	220	242
Mean Absolute Percentage Error (MAPE) %	15.68	17.29