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BP神经网络在堤坝砂基液化预测中的应用研究
Application of BP Neural Network Model on Predicting Sand Liquefaction of Levee Foundation
【摘要】 鉴于砂土液化是多因素综合作用的结果 ,应用人工神经网络基本原理 ,建立多参数综合评价砂土液化的BP网络模型 ,对砂土液化的严重程度作出了客观评价 ,并在实际工程中得以应用和检验 ,取得良好的效果。
【Abstract】 s:Multiparameter BP neural network model for comprehensive appraisement of sand liquefaction was established based on the principle of artificial neural network due to the synthetic action of the influencing factors to sand liquefaction. An objective appraisement of the severe degree of sand liquefaction was made. The application in actual engineering had good result.
【关键词】 神经网络;
BP算法;
液化预测模型;
【Key words】 neural network; BP algorithm; prediction model of liquefaction;
【Key words】 neural network; BP algorithm; prediction model of liquefaction;
- 【文献出处】 沈阳农业大学学报 ,Journal of Shenyang Agricultural University , 编辑部邮箱 ,2004年Z1期
- 【分类号】TV223
- 【被引频次】1
- 【下载频次】51