[Retracted] Application of Neural Network Sample Training Algorithm in Regional Economic Management

Table 3

Training results of BP neural network.

Sample no	1	2	3	4	5	6	7	8	9	10
Expected value	0.1738	0.2256	0.3168	0.4059	0.3445	0.351	0.4962	0.6077	0.6891	0.6606
Training value	0.23748	0.22203	0.23114	0.38759	0.30415	0.32826	0.50822	0.64775	0.75898	0.69606
Relative error	−0.06368	0.00357	0.08566	0.01831	0.04035	0.02274	−0.01202	−0.04005	−0.06988	−0.03546
Sample No	11	12	13	14	15	16	17	18	19	20
Expected value	0.7608	0.2096	0.3196	0.4018	0.4923	0.4528	0.4486	0.5857	0.6903	0.7191
Training value	0.77443	0.233772	0.307	0.37077	0.46253	0.4293	0.4181	0.5959	0.71117	0.7409
Relative error	−0.01363	−0.02417	0.0126	0.03103	0.02977	0.0235	0.0305	−0.0102	−0.02087	−0.0218
Sample No	21	22	23	24	25	26	27	28	29	30
Expected value	0.7359	0.7972	0.6597	0.7608	0.2126	0.3148	0.3985	0.4904	0.4376	0.4502
Training value	0.77573	0.8262	0.67036	0.77176	0.25621	0.34043	0.4536	0.47815	0.42223	0.4739
Relative error	−0.03983	−0.029	−0.01066	−0.01096	−0.04361	−0.02563	−0.0551	0.01225	0.01537	−0.0237
Sample no	31	32	33	34	35	36	37	38	39	40
Expected value	0.582	0.8002	0.6597	0.7608	0.5807	0.6943	0.7191	0.74	0.7972	0.6591
Training value	0.54904	0.83352	0.6667	0.78486	0.59568	0.64858	0.73067	0.78783	1.0003	0.70266
Relative error	0.03296	−0.03332	−0.007	−0.02406	−0.01498	0.04572	−0.01157	−0.04783	−0.2031	−0.04356
Sample no	41	42	43	44	45	46	47	48	49	50
Expected value	0.7608	0.2107	0.3237	0.3927	0.5014	0.4535	0.5872	0.7958	0.7608	0.5835
Training value	0.77505	0.22493	0.34543	0.46647	0.47214	0.47	0.62417	0.81485	0.80576	0.5976
Relative error	−0.01425	−0.01423	−0.02173	−0.07377	0.02926	−0.0165	−0.03697	−0.01905	−0.04496	−0.0141