A Tidal Level Prediction Approach Based on BP Neural Network and Cubic B-Spline Curve with Knot Insertion Algorithm

Table 2

The comparison of BP model and BP-KIA model with influence of Haikui.

Date	Real tide levels []	Tide levels predicted by BP model []	Tide levels predicted by BP-KIA model []	date	Real tide levels []	Tide levels predicted by BP model []	Tide levels predicted by BP-KIA model []
8.1-2	4.28	4.25	4.25	8.24-25	4.13	4.10	4.11
8.2-3	4.50	4.35	4.47	8.25-26	3.99	3.98	3.98
8.3-4	4.92	5.71	5.72	8.26-27	4.05	4.01	4.02
8.4-5	4.83	5.35	5.35	8.27-28	4.73	4.65	4.66
8.5-6	4.64	4.71	4.72	9.11-12	3.67	3.65	3.67
8.6-7	4.51	4.45	4.52	9.12-13	3.99	3.96	3.97
8.7-8	4.81	4.46	4.46	9.13-14	4.21	4.21	4.25
8.19-20	4.51	4.01	4.04	9.14-15	4.48	4.41	4.55
8.20-21	4.47	4.21	4.22	9.15-16	4.76	4.48	4.63
8.21-22	4.32	4.22	4.24	9.16-17	4.98	5.25	5.28
8.22-23	4.35	4.39	4.39	9.17-18	4.82	4.81	4.81
8.23-24	4.16	4.15	4.15	9.18-19	4.55	5.02	5.03