The Application of BP Neural Network in Settlement Prediction of Highway Soft Foundation
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.
Guangfan Li, Yong Huang and Chaohe Chen
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