遗传BP算法在预测深厚软基沉降中的应用  

Application of BP Algorithm Method in Prediction of Deep Soft Ground Settlement

作　　者：刘志忠 

机构地区：[1]河北省宣大高速公路管理处,张家口075000

出　　处：《交通科技》2009年第B07期70-73,共4页Transportation Science & Technology

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.

关 键 词：软基沉降 神经网络 遗传算法预测 

分 类 号：U666.7[交通运输工程—船舶及航道工程] TU471.8[交通运输工程—船舶与海洋工程]