Prediction of Ionospheric TEC Based on the NARX Neural Network

Table 3

Part of training samples (0 h, DOY 121–14 h, DOY 122, 2017).

Target TEC			Exogenous input
Beijing	Wuhan	Sanya
12.346	13.910	12.972	0.000	1.000	0.872	−0.490	0.000	−1.000
14.001	16.231	20.362	0.500	0.866	0.872	−0.490	0.000	−1.000
15.477	23.413	31.144	0.866	0.500	0.872	−0.490	0.000	−1.000
16.130	23.898	35.085	1.000	0.000	0.872	−0.490	0.000	−1.000
17.249	23.470	34.623	0.866	−0.500	0.872	−0.490	0.000	−1.000
16.358	19.306	32.900	0.500	−0.866	0.872	−0.490	0.000	−1.000
14.504	16.463	23.203	0.000	−1.000	0.872	−0.490	0.000	−1.000
11.869	11.228	11.454	−0.500	−0.866	0.872	−0.490	0.000	−1.000
9.877	10.242	9.940	−0.866	−0.500	0.872	−0.490	0.000	−1.000
9.347	10.005	9.173	−1.000	0.000	0.872	−0.490	0.000	−1.000
7.916	7.674	7.000	−0.866	0.500	0.872	−0.490	0.000	−1.000
9.117	8.993	6.388	−0.500	0.866	0.872	−0.490	0.000	−1.000
13.712	15.912	14.999	0.000	1.000	0.863	−0.505	0.000	−1.000
15.501	18.637	21.218	0.500	0.866	0.863	−0.505	0.000	−1.000
14.850	22.402	31.824	0.866	0.500	0.863	−0.505	0.000	−1.000
15.093	26.151	38.289	1.000	0.000	0.863	−0.505	0.000	−1.000
13.718	22.679	38.700	0.866	−0.500	0.863	−0.505	0.000	−1.000
14.000	20.388	34.468	0.500	−0.866	0.863	−0.505	0.000	−1.000
15.666	15.410	16.326	0.000	−1.000	0.863	−0.505	0.000	−1.000
11.298	9.284	9.457	−0.500	−0.866	0.863	−0.505	0.000	−1.000