The Application of BP Neural Network in Settlement Prediction of Highway Soft Foundation

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.