Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation
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摘要: 以深基坑土体弹塑性位移反分析为基础,提出了深基坑开挖土性参数反分析的人工神经网络法及利用网络输出的反演值对基坑围护结构的变形作预报,并通过工程实例验证了深基坑工程利用该方法进行反分析是可行的。Abstract: Based on the elastic-plastic displacement back-analysis of deep excavation,the Artificial Neural Networks(ANN) is applied in the back-analysis of deep excavation and the deformation prediction is built through ANN.Its practicability is reliable by engineering case.
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