摘要
In view of the characteristics of soft soil deep foundation pit for the construction and geotechnical characteristics of the special medium,it is difficult to calculate theoreti- cally accurately structural deformation of the foundation pit,so in the course of excavation on the construction of the information is particularly important.The analysis and compari- son of several popular non-linear forecasting methods,combined with the actual projects, set up a grey theoretical prediction model,time series forecasting model,improved neural network model to predict deformation of the foundation pit.The results show that the use of neural network to predict with high accuracy solution,it is the foundation deformation prediction effective way in underground works with good prospects.
In view of the characteristics of soft soil deep foundation pit for the construction and geotechnical characteristics of the special medium, it is difficult to calculate theoretically accurately structural deformation of the foundation pit, so in the course of excavation on the construction of the information is particularly important. The analysis and comparison of several popular non-linear forecasting methods, combined with the actual projects, set up a grey theoretical prediction model, time series forecasting model, improved neural network model to predict deformation of the foundation pit. The results show that the use of neural network to predict with high accuracy solution, it is the foundation deformation prediction effective way in underground works with good prospects.
基金
the Educational Department of Liaoning Province Through Scientific Research Project(20060051)
National Natural Science Foundation of China(50604009)
Universities Excellent Talents Support Plan to Train Foundation of Liaoning(RC-04-13)
关键词
基坑工程
神经元网络
变形预报
建筑工程
soft soil deep foundation pit, deformation prediction, neural network, grey theory, time series analyses
