| 应用遗传算法和LM优化的BP神经网络模型预测机场道面使用性能 |
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| 引用本文： | 韦灼彬,吴森,高屹.应用遗传算法和LM优化的BP神经网络模型预测机场道面使用性能[J].空军工程大学学报,2009,10(4):11-14. |
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| 作者姓名： | 韦灼彬 吴森 高屹 |
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| 作者单位： | 海军工程大学,天津校区,天津,300450 |
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| 摘 要： | 分析了影响道面使用性能的各种参数,结合BP神经网络和遗传算法来预测机场道面使用性能.通过遗传算法全局寻优功能对神经网络的初始权值和阈值进行优化,然后采用LM(Levenberg-Marquardt)优化算法对神经网络训练速度进行加速,并且使训练避免陷入局部极小点.通过历年数据对神经网络进行训练,用所得神经网络模型对机场道面使用性能进行预测.训练结果表明,该方法具有足够的精度,能够应用到工程实际中.
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| 关 键 词： | 遗传算法 LM优化算法 BP神经网络 机场道面 预测 |
Forecasting the Service Performance of Airport Pavement by LM-BP Neural Network Model Optimized by Genetic Algorithms |
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| WEI Zhuo-bin,WU Sen,GAO Yi.Forecasting the Service Performance of Airport Pavement by LM-BP Neural Network Model Optimized by Genetic Algorithms[J].Journal of Air Force Engineering University(Natural Science Edition),2009,10(4):11-14. |
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| Authors: | WEI Zhuo-bin WU Sen GAO Yi |
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| Institution: | Tianjin School District;Naval University of Engineering;Tianjin 300450;China |
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| Abstract: | The problem of forecasting the service performance of airport pavement is studied.Various parameters influencing the service performance of airport pavement are analyzed,the genetic algorithm and BP neural network are combined to forecast the service performance of airport pavement.The genetic algorithm overall optimization is used to optimize the weight and threshold of neural network,then,LM optimization algorithm is used to increase the training speed and make the training avoid getting into local minimu... |
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| Keywords: | genetic algorithm LM optimization algorithm BP neural network airport pavement forecasting |
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