Paper Title:
Research on Deformation Forecasting of Deep Foundation Pit Supporting Structure Based on BP Neural Networks
  Abstract

Excavation engineering is affected by many kinds of factors. It is becoming the key and difficult point in geotechnical engineering. This paper analyzes and predicts the deformation of supporting structure in urban deep excavation with artificial neural network theory, establishing network predictive model to predict the maximum deformation of supporting structure. The result shows that the network system has high precision, and it can be applied to practice.

  Info
Periodical
Advanced Materials Research (Volumes 250-253)
Edited by
Guangfan Li, Yong Huang and Chaohe Chen
Pages
2116-2119
DOI
10.4028/www.scientific.net/AMR.250-253.2116
Citation
Y. Xue, L. Xu, Z. Z. Cao, "Research on Deformation Forecasting of Deep Foundation Pit Supporting Structure Based on BP Neural Networks", Advanced Materials Research, Vols. 250-253, pp. 2116-2119, 2011
Online since
May 2011
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Price
$32.00
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