| 基于BP神经网络模型下的桩群阻力预测 |
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| 引用本文： | 陈传林,杨星.基于BP神经网络模型下的桩群阻力预测[J].水道港口,2009,30(6):448-452. |
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| 作者姓名： | 陈传林 杨星 |
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| 作者单位： | 1. 南京振高水利建筑安装工程有限公司,南京,211300
2. 河海大学海洋学院,南京,210098 |
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| 摘 要： | 在30m长、3m宽、0.26m深的循环水槽中,应用阻力相似理论进行物理模型桩群模拟,以试验中的实测桩群阻力数值作为期望值,建立基于BP神经网络的桩群阻力预测模型。应用该模型进行桩群阻力预测,通过对比实测数据,发现预测值相对误差很小,预测结果合理可信。由此可以认为,以物理模型试验数据为基础,依托神经网络进行桩群阻力预测的方法值得推广和探讨。
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| 关 键 词： | 物理模型 神经网络 桩群 阻力 预测 |
Prediction of flow resistance due to piles based on BP neural network |
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| CHEN Chuan-lin,YANG Xing.Prediction of flow resistance due to piles based on BP neural network[J].Journal of Waterway and Harbour,2009,30(6):448-452. |
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| Authors: | CHEN Chuan-lin YANG Xing |
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| Abstract: | An experimental work of flow resistance due to piles was conducted in a shallow flow tank.The working section of the tank is 30 m long,3 m wide and 0.26 m deep.Based on the experimental results and grey neural network algorithm,the forecast model of flow resistance due to piles was established.The flow resistance was predicted by using the model.Comparing the computed results with the experimental data,it is found that the relative error is little,and the prediction is reasonable.Therefore,the forecast method based on the grey neural network algorithm is recommended to be used in the hydraulic engineering. |
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| Keywords: | physical model neural network piles flow resistance prediction |
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