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

Table 3

The selected model inputs and corresponding correlation coefficients for Hsia-Yun station.

	+ 1	+ 2	+ 3	+ 4	+ 5	+ 6
Typhoon central longitude	X			0.423	0.447	0.465
Typhoon central maximum wind speed	X		0.415	X	0.424	0.428
Typhoon central atmospheric pressure	0.419	0.423	0.429	0.434	0.439	0.444
Distance between observed station and typhoon center	0.437	0.419	X
The upper wind speed at Hsia-Yun station	0.483	0.467	0.449	0.432	X
Gao-Yi precipitation at time	0.857	0.825	0.809	X		0.772
Ba-Ling precipitation at time	0.896	0.863	0.846	0.825	0.806	0.791
Gao-Yi precipitation at time	0.872	0.844	0.824	0.809	0.794	0.776
Yu-Feng precipitation at time	0.884	0.857	0.838	0.825	0.806	0.793
Zhenxibao precipitation at time	X			0.798	0.784	X
Bai-Shi precipitation at time	0.864	0.838	0.824	0.806	0.791	0.777
Hsia-Yun precipitation at time   −  1	0.872	0.84	0.818	0.802	0.78	0.764
Hsia-Yun precipitation at time	0.912	0.872	0.842	0.819	0.803	0.783