›› 2016, Vol. 30 ›› Issue (2): 223-226.

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Industrial Building Deformation Predictions by BP Neural Network

SHI Li, HUANG Tao    

  1. (Wuhan SurveyGeotechnical Research Institute Co. Ltd. Of MCC, Wuhan 430080)
  • Received:2015-12-30 Online:2016-04-20 Published:2016-04-27

Abstract: The safety control, scheduled maintenance and monitoring of the industrial buildings under their normal operation are the very important tasks. This paper presents a case history of the comparison of the deformation data between the predicted and observed. The existing monitored data were used as the training samples for the neural network system. After the training, the deformations of the operational buildings could be predicted by the neural network. The deformation monitoring data on a 500tonne waste water treatment shop were used by the neural network and the future deformation of the shop was predicted. The results between the monitoring and predicted are consistent.  

Key words: Monitoring data, BP Neural Network, MATLAB