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深基坑变形的神经网络预测
引用本文:赵民,闫韶兵,朱民. 深基坑变形的神经网络预测[J]. 工业建筑, 2006, 36(Z1): 695-696
作者姓名:赵民  闫韶兵  朱民
作者单位:1. 青岛市勘察测绘研究院,青岛,266033
2. 青岛市建筑施工安全监督站,青岛,266071
摘    要:根据神经网络的基本原理,结合工程实例,建立了基坑变形预测的神经网络模型,并运用该模型对工程实例进行了预测,预测结果与实际变形拟合良好,表明了神经网络法在基坑变形预测中的有效性。

关 键 词:变形预测  神经网络
修稿时间:2005-11-15

FORECAST OF DEEP EXCAVATION DEFORMATION BY NEURAL NETWORKS
Zhao Min,Yan Shaobing,Zhu Min. FORECAST OF DEEP EXCAVATION DEFORMATION BY NEURAL NETWORKS[J]. Industrial Construction, 2006, 36(Z1): 695-696
Authors:Zhao Min  Yan Shaobing  Zhu Min
Affiliation:Zhao Min Yan Shaobing(Qingdao Prospecting and Mapping Institute Qingdao 266033)Zhu Min(Qingdao Construction Security Supervision Station Qingdao 266071)
Abstract:A neural network model for predicting the deformation of a deep excavation is set up according to the basic principles of neural network,combining project examples.The model is used to predict these projects,whose results are agreed well with the actual deformations.It proves the validity of neural networks in the prediction of deep excavation deformations.
Keywords:deformation prediction neural network
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