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收稿日期: 2007-01-22
修回日期: 2007-02-26
网络出版日期: 2009-12-04
BP Neural Network Prediction of Surface
Settlement Resulted by Shield Tunneling
Received date: 2007-01-22
Revised date: 2007-02-26
Online published: 2009-12-04
根据盾构施工引起地表沉降的具体问题，结合广州地铁三号线某区间地质资料，建立了地表沉降预测的BP神经网络模型，并对网络进行了训练和测试，测试结果表明，利用神经网络进行盾构隧道施工的地表沉降预测是可行的，可用于工程实践。
侯喜冬 . 盾构施工引起地表沉降的BP神经网络预测[J]. 隧道建设, 2007 , 27(3) : 17 -20 . DOI: B
Regarding the surface settlement caused by shield tunneling, a BP neural network model is established in the paper on basis of the geological parameters of a running tunnel on line 3 of Guangzhou Metro. Training and testing are made for the neural network. The testing results indicate that it is feasible to predict the surface settlement resulted by shield tunneling by means of neural network and the prediction method can be put into engineering practices.
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