摘要
依托某高速公路应用塑料排水板堆载预压法处理深厚软基的工程实践,运用皮尔-遗传神经网络对其沉降观测结果进行了分析、预测.研究结果显示该方法预测精度高,说明这种方法对软土地基沉降的预测是有效的.
Based on a highway drainage plastic plate preloading treatment of soft-deep in the engineering practice, this paper applied the Pierre-genetic neural network method to analyse and forecast its settlement observation results. The results showed that the prediction is accurate. So this method is effective for the prediction of soft ground settlement, it can be used to guide the embankment construction completely.
出处
《长沙理工大学学报（自然科学版）》
CAS
2008年第2期43-47,共5页
Journal of Changsha University of Science and Technology:Natural Science
基金
湖南省交通科技计划项目(0701)
关键词
软基沉降
神经网络
遗传算法
预测
soft ground settlement
neural networks
genetic algorithm
forecast
