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2

石油的石油储备和百分误差分析与BP神经网络的统计表格。

网站1 网站2
哦/毫米 AOR / L TOR / L 芬/ L 压电陶瓷 哦/毫米 AOR / L TOR / L 芬/ L 压电陶瓷

1020.65 3464.74 3405.10 59.61 0.00% 715.32 2214.74 2222.10 10.08 0.12%
1007.73 3414.74 3361.80 53.15 0.01% 705.43 2164.74 2180.70 11.76 0.19%
994.32 3364.74 3315.90 48.64 0.01% 693.52 2114.74 2130.60 13.97 0.09%
980.96 3314.74 3269.40 45.20 0.00% 682.5 2064.74 2084.30 16.09 0.17%
967.10 3264.74 3220.10 42.05 0.08% 671.02 2014.74 2036.00 18.31 0.15%
956.01 3214.74 3180.10 39.59 0.15% 658.68 1964.74 1984.00 20.60 0.07%
941.54 3164.74 3127.20 36.34 0.04% 647.74 1914.74 1938.00 22.50 0.04%
929.69 3114.74 3083.20 33.60 0.07% 635.76 1864.74 1887.60 24.34 0.08%
916.44 3064.74 3033.40 30.45 0.03% 624.61 1814.74 1840.70 25.80 0.01%
904.14 3014.74 2986.60 27.46 0.02% 612.53 1764.74 1790.00 27.08 0.10%
891.9 2964.74 2939.50 24.47 0.03% 600.69 1714.74 1740.30 27.99 0.14%
879.23 2914.74 2890.30 21.39 0.10% 589.40 1664.74 1693.10 28.55 0.01%
868.99 2864.74 2850.20 18.96 0.15% 577.00 1614.74 1641.30 28.82 0.14%
855.13 2814.74 2795.50 15.81 0.12% 564.58 1564.74 1589.60 28.76 0.25%
844.02 2764.74 2751.20 13.45 0.00% 554.33 1514.74 1547.10 28.48 0.26%
831.64 2714.74 2701.60 11.07 0.08% 540.76 1464.74 1491.00 27.83 0.11%
820.47 2664.74 2656.50 9.20 0.04% 528.65 1414.74 1441.20 27.02 0.04%
808.16 2614.74 2606.50 7.50 0.03% 517.19 1364.74 1394.20 26.09 0.25%
796.00 2564.74 2556.90 6.24 0.06% 504.87 1314.74 1344.10 24.97 0.33%
785.04 2514.74 2511.90 5.51 0.11% 490.78 1264.74 1287.00 23.55 0.10%
773.07 2464.74 2462.60 5.18 0.12% 478.06 1214.74 1235.90 22.20 0.09%
762.09 2414.74 2417.20 5.30 0.12% 465.97 1164.74 1187.70 20.88 0.18%
750.81 2364.74 2370.30 5.86 0.01% 452.40 1114.74 1134.00 19.39 0.01%
739.42 2314.74 2322.90 6.84 0.06% 439.98 1064.74 1085.30 18.04 0.24%
727.09 2264.74 2271.40 8.32 0.07% 425.83 1014.74 1030.30 16.55 0.10%

哦,AOR TOR,芬,压电陶瓷,分别石油高度,实际的石油储备,石油储备理论,神经网络的拟合误差,相对误差修正。