J4

Previous Articles     Next Articles

Analysis &|Prediction of Dam Deformation Based on ANN-An Example of Deformation at Monitoring Point 27 of Xijin Dam

MA Li-xia1,WANG Feng-yan1|CHEN Jian-ping2   

  1. 1.College of GeoExploration of Science and Technology, Jilin University, Changchun 130026, China;2.College of Construction Engineering, Jilin University, Changchun 130026, China
  • Received:2008-10-23 Online:2009-05-26 Published:2009-05-26

Abstract:

On the basis of MATLAB programming language, BP neural network and stepwise regression are applied to predict the deformation at monitoring point No. 27 of Xijin dam. Furthermore, the combination prediction method of BP network and stepwise regression is put forward and the prediction results of 3 methods are compared. The research shows that it is feasible to apply BP neural network to dam deformation analysis and prediction. In addition, the combination method improves the scientific quality to choice deformation factors. The combination method is prior to the method of stepwise regression in prediction result and it is worth to further study.

Key words: dam deformation prediction, BP network, stepwise regression

CLC Number: 

  • P642.3
[1] ZHOU Li-ping, SHEN Xiang-dong, LI Xue-bin, BAI Zhong-qiang. Experiment Study of Mechanical Properties of Natual Pumice Powder Cement-Soil [J]. J4, 2009, 39(3): 492-497.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!