高速公路软土路基沉降预测

软土路基沉降量的准确预测对高速公路施工与维护是非常重要的,但是影响路基沉降量的因素众多,并且沉降量之间具有高度复杂的非线性关系,用传统的数学、力学方法很难表示;将最新的机器学习技术-支持向量机应用于软土路基沉降量预测研究,提出了软土路基沉降量预测的支持向量机模型,该模型的应用结果表明,利用支持向量机进行预测是科学可行的,建立的模型很好地表示了沉降量之间的映射关系,并且提出的模型准确性高、推广预测能力强。

Settlement Prediction of Highway Soft Foundation Using Support Support Vector Machine

Settlement prediction of highway soft foundation is important for construction and maintenance of highway.There are a lot of factors that influence the settlement,and the relationship between them is complex and nonlinear.So,it is difficult to express the relationship by conventional methods such as mechanical and mathematical one.In this paper,a new approach was proposed based on the support vector machine and field measuring information to predict the settlement of highway soft foundation.The results show that this method is feasible, scientific,and promising.