本算法利用matlab及libsvm软件包中提供的函数实现了SVR回归模型的仿真测试，并应用于混凝土抗压强度预测中。-The algorithm uses the libsvm matlab and functions provided in the package to achieve a SVR regression model simulation testing, and applied to predict the compressive strength of concrete.

混凝土的抗压强度随养护时间的延长而增加，现将一批混凝土作成12个试块，记录了养护日期x（日）及抗压强度y（kg/cm2）的数据：求型回归方程 示例方程在内-The compressive strength of concrete with curing time and increase the extension, now make a number of concrete block 12, recording the date of the conservation of x (day

支持向量机的回归拟合——混凝土抗压强度预测,介绍SVM回归拟合的基本思想和原理，并以实例的形式阐述其在混凝土抗压强度预测中的应用。-Support vector machine regression- concrete compressive strength prediction, SVM regression introduce the basic ideas and principles, and examples in the form set forth in the concrete

支持向量机的回归拟合——混凝土抗压强度预测-support vector machine regression the concrete compressive strength prediction