Paper Title:
The Application of BP Neural Network in Settlement Prediction of Highway Soft Foundation
  Abstract

In view of the settlement of highway soft foundation, the paper proposes a method to predict soft foundation settlement based on BP neural network model, taking advantage of the strong non-linear mapping and learning ability of BP neural network. Then it is compared with the three-point method, obtaining some useful conclusions. Since the BP neural network model is directly based on real samples, it could avoid the mistakes due to factitiousness in the three-point method. It is proved that the BP neural network model is accurate and the settlement has least error.

  Info
Periodical
Advanced Materials Research (Volumes 250-253)
Edited by
Guangfan Li, Yong Huang and Chaohe Chen
Pages
3440-3443
DOI
10.4028/www.scientific.net/AMR.250-253.3440
Citation
Y. Xue, Z. Z. Cao, S. Liu, "The Application of BP Neural Network in Settlement Prediction of Highway Soft Foundation", Advanced Materials Research, Vols. 250-253, pp. 3440-3443, 2011
Online since
May 2011
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Price
$32.00
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