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

Table 9

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 YERHR.

	Training periods				Structure	Testing periods
	R	RMSE	MAE	NS		R	RMSE	MAE	NS
1 month ahead	0.8906	251.05	144.96	0.7874	24-12-1	0.8841	204.16	129.12	0.7809
3 months ahead	0.8329	307.64	189.14	0.6810	24-5-1	0.8003	263.93	165.42	0.6322
6 months ahead	0.7819	354.69	210.55	0.5755	24-2-1	0.7757	274.90	171.01	0.5997
12 months ahead	0.7919	333.87	203.46	0.6227	24-13-1	0.7978	263.63	166.32	0.6306
24 months ahead	0.7707	362.16	216.94	0.5431	24-2-1	0.7938	271.00	177.19	0.6209