Complexity / 2017 / Article / Tab 3

Research Article

Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method

Table 3

CFD data for the training samples.

Sample

(1)0.000.002.00002.00004.0000
(2)0.000.252.00002.00004.0000
(3)0.000.502.00002.00004.0000
(4)0.000.752.00002.00004.0000
(5)0.001.002.00002.00004.0000
(6)0.001.250.79101.09721.8882
(7)0.001.500.93920.97481.9141
(8)0.001.750.97570.96021.9359
(9)0.002.000.98850.96291.9514
(10)0.100.002.00002.00004.0000
(11)0.100.252.00002.00004.0000
(12)0.100.502.00002.00004.0000
(13)0.100.752.00002.00004.0000
(14)0.101.002.00002.00004.0000
(15)0.101.250.82451.17251.9970
(16)0.101.500.94321.06042.0036
(17)0.101.750.97651.02962.0061
(18)0.102.000.98871.01882.0075
(19)0.200.001.05521.05522.1104
(20)0.200.251.71360.35982.0733
(21)0.200.501.51530.53642.0517
(22)0.200.751.40270.58411.9868
(23)0.201.000.75911.25072.0098
(24)0.201.250.86711.11071.9778
(25)0.201.500.94501.03981.9848
(26)0.201.750.97281.01501.9879
(27)0.202.000.98411.00501.9891
(28)0.300.001.02471.02472.0494
(29)0.300.251.40410.63262.0367
(30)0.300.501.35950.67022.0297
(31)0.300.751.19890.78841.9873
(32)0.301.000.92571.09202.0177
(33)0.301.250.91351.06711.9806
(34)0.301.500.95571.02971.9853
(35)0.301.750.97611.01181.9879
(36)0.302.000.98521.00371.9889
(37)0.400.001.01461.01462.0292
(38)0.400.251.23860.78592.0245
(39)0.400.501.24890.77702.0259
(40)0.400.751.13020.86171.9920
(41)0.401.000.99471.02832.0229
(42)0.401.250.94871.03541.9841
(43)0.401.500.96691.02001.9869
(44)0.401.750.98001.00861.9886
(45)0.402.000.98711.00251.9896
(46)0.500.001.00941.00952.0189
(47)0.500.251.14880.86992.0187
(48)0.500.501.17530.85062.0259
(49)0.500.751.09500.90001.9951
(50)0.501.001.02431.00322.0275
(51)0.501.250.97231.01461.9868
(52)0.501.500.97691.01181.9887
(53)0.501.750.98431.00571.9900
(54)0.502.000.98911.00161.9907
(55)0.600.001.00621.00652.0127
(56)0.600.251.09630.91702.0132
(57)0.600.501.12630.89912.0253
(58)0.600.751.07240.92451.9969
(59)0.601.001.03270.99072.0235
(60)0.601.250.98731.00181.9891
(61)0.601.500.98501.00521.9903
(62)0.601.750.98831.00291.9912
(63)0.602.000.99111.00001.9911

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