摘要
以某高速公路工程为依托,采用BP-ANN(BP人工神经网络)技术预测其软基沉降量。研究结果表明:模拟计算的数据合理,且相对传统的预测方法——一维固结理论法来说,精确度更高,实测结果验证了采用BP-ANN技术预测软土地基沉降量效果显著。
Relying on an expressway project, the BP-ANN technology is adopted to predict the soft soil foundation settlement amount. Research results show that the simulation data is reasonable and more precise compared with traditional prediction method——the one-dimensional consolidation theory. The field test results prove that the BP-ANN technology is very effective to predict the soft soil foundation settlement amount.
出处
《路基工程》
2016年第1期129-131,141,共4页
Subgrade Engineering
关键词
BP神经网络
软土地基
沉降量
预测算法
实测验证
BP-neural network
soft soil foundation
settlement law
prediction algorithm
field test verification
