Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling

Table 2

The selected model inputs and corresponding correlation coefficients for Yu-Feng station.

Forecasted lead-time	+ 1	+ 2	+ 3	+ 4	+ 5	+ 6
Typhoon central longitude	X			0.450	0.472	0.492
Typhoon central maximum wind speed	0.436	0.439	0.443	0.446	0.45	0.453
Typhoon central atmospheric pressure	0.451	0.452	0.457	0.46	0.465	0.469
The upper wind speed at Yu-Feng station	0.46	0.454	0.432	X
Hsia-Yun precipitation at time	0.894	0.867	0.819	0.819	0.795	0.773
Gao-Yi precipitation at time	0.908	0.882	0.831	0.831	0.809	0.788
Ba-Ling precipitation at time	0.895	0.869	0.820	0.820	0.799	0.778
Zhenxibao precipitation at time	0.884	0.858	0.812	0.812	0.791	0.761
Bai-Shi precipitation at time	0.895	0.872	0.819	0.819	0.797	0.772
Yu-Feng precipitation at time	0.917	0.89	0.839	0.839	0.819	0.792
Yu-Feng precipitation at time   −  1	0.890	0.871	0.822	0.822	0.797	0.777