ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

Table 8

Performance of the ANN model with two input variables (precipitation and air temperature) during the training and testing periods for 1-, 3-, 6-, 12-, and 24-month-ahead runoff forecasting in the LARHR.

	Training periods				Structure	Testing periods
	R	RMSE	MAE	NS		R	RMSE	MAE	NS
1 month ahead	0.9012	178.84	113.54	0.8074	24-11-1	0.9334	140.04	101.72	0.8709
3 months ahead	0.8818	192.94	119.02	0.7760	24-14-1	0.8947	174.09	110.11	0.8002
6 months ahead	0.8682	202.71	121.35	0.7530	24-3-1	0.9090	164.47	101.60	0.8243
12 months ahead	0.8802	187.92	121.19	0.7744	24-5-1	0.9223	154.56	105.45	0.8424
24 months ahead	0.8773	187.17	118.25	0.7696	24-6-1	0.9043	162.19	105.65	0.8156