基于反向传播神经网络的风力机涡流发生器优化
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夏云松, 谭剑锋, 韩水, 高金娥
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Optimization of Wind Turbine Vortex Generator Based on Back Propagation Neural Network
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XIA Yunsong, TAN Jianfeng, HAN Shui, GAO Jin’e
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表2 风力机涡流发生器5组试验方案的仿真结果与预测值
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Tab.2 Simulation results and predicted values of five groups of test schemes of wind turbine vortex generator
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序号 | h/mm | l/mm | β/(°) | 推力 | | 转矩 | YT1/N | YT2/N | 误差/% | YM1/(N·m) | YM2/(N·m) | 误差/% | 1 | 22.76 | 13.29 | 10.20 | 2134.016 | 2132.933 | 0.0510 | | 1083.019 | 1083.484 | 0.0429 | 2 | 24.10 | 24.86 | 12.76 | 2115.363 | 2114.688 | 0.0320 | | 1054.235 | 1053.252 | 0.0930 | 3 | 20.51 | 10.71 | 21.43 | 2092.350 | 2091.331 | 0.0490 | | 1016.699 | 1016.375 | 0.0320 | 4 | 9.29 | 17.57 | 7.65 | 2140.347 | 2141.031 | 0.0319 | | 1077.872 | 1078.278 | 0.0377 | 5 | 16.47 | 25.29 | 15.31 | 2127.533 | 2126.936 | 0.0280 | | 1027.856 | 1024.256 | 0.0350 |
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