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

Table 6

Performance statistics of the ANN model with three input variables (runoff, precipitation, and air temperature) during the training and testing periods for 1-, 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	0.9204	213.00	121.90	0.8470	36-4-1	0.8892	196.46	123.23	0.7852
3 months ahead	0.8516	304.90	171.41	0.6866	36-2-1	0.8021	253.93	153.49	0.6421
6 months ahead	0.7835	356.27	207.98	0.5717	36-2-1	0.7860	267.58	176.19	0.6091
12 months ahead	0.8232	312.27	191.50	0.6699	36-3-1	0.8047	258.95	158.42	0.6453
24 months ahead	0.7780	349.42	207.56	0.5747	36-4-1	0.8004	267.50	180.98	0.6307