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。结果显示,预测精度高。
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 analysis and forecast its settlement observation results. The results showed that the prediction is accuracy. So this method is effective for the prediction of soft ground settlement, it can be used to guide the embankment construction completely.
出处
《交通科技》
2009年第B07期70-73,共4页
Transportation Science & Technology
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
