抽象和应用分析

研究文章

基于BP神经网络算法的数学模型偏差识别的储罐和校准的油罐容量图

表1

测试数据和结果的模型。


网站1					网站2
哦/毫米	AOR / L	TOR / L	IOR / L	IER	哦/毫米	AOR / L	TOR / L	IOR / L	IER

159.02	312.00	322.88	313.46	0.47%	486.89	1512.00	1564.74	1511.08	0.06%
176.14	362.00	374.63	362.90	0.25%	498.95	1562.00	1616.49	1561.20	0.05%
192.59	412.00	426.36	412.41	0.10%	510.97	1612.00	1668.24	1611.33	0.04%
208.50	462.00	478.13	462.03	0.01%	522.95	1662.00	1719.98	1661.46	0.03%
223.93	512.00	529.85	511.67	0.06%	534.90	1712.00	1771.73	1711.59	0.02%
238.97	562.00	3581.61	561.39	0.11%	546.82	1762.00	1823.46	1761.71	0.02%
253.66	612.00	633.35	611.16	0.14%	558.72	1812.00	1875.19	1811.84	0.01%
268.04	662.00	685.08	660.95	0.16%	570.61	1862.00	1926.95	1862.00	0.00%
282.16	712.00	736.85	710.81	0.17%	582.48	1912.00	1978.68	1912.12	0.01%
296.03	762.00	788.58	760.67	0.17%	594.35	1962.00	2030.43	1962.27	0.01%
309.69	812.00	840.33	810.58	0.18%	606.22	2012.00	2082.20	2012.44	0.02%
323.15	862.00	892.06	860.49	0.18%	618.09	2062.00	2133.95	2062.59	0.03%
336.44	912.00	943.80	910.44	0.17%	629.96	2112.00	2185.67	2112.71	0.03%
349.57	962.00	995.54	960.41	0.17%	641.85	2162.00	2237.43	2162.86	0.04%
362.56	1012.00	1047.30	1010.41	0.16%	653.75	2212.00	2289.16	2212.99	0.04%
375.42	1062.00	1099.05	1060.43	0.15%	665.67	2262.00	2340.89	2263.10	0.05%
388.16	1112.00	1150.81	1110.47	0.14%	677.63	2312.00	2392.67	2313.27	0.06%
400.79	1162.00	1202.55	1160.51	0.13%	678.54	2315.83	2396.61	2317.09	0.05%
413.32	1212.00	1254.29	1210.56	0.12%	690.53	2365.83	2448.37	2367.23	0.06%
425.76	1262.00	1306.03	1260.62	0.11%	690.82	2367.06	2449.62	2368.45	0.06%
438.12	1312.00	1357.77	1310.69	0.10%	702.85	2417.06	2501.40	2418.60	0.06%
450.40	1362.00	1409.49	1360.75	0.09%	714.91	2467.06	2553.11	2468.69	0.07%
462.62	1412.00	1461.24	1410.85	0.08%	727.03	2517.06	2604.88	2518.82	0.07%
474.78	1462.00	1512.98	1460.95	0.07%	739.19	2567.06	2656.59	2568.89	0.07%