支持向量机算法预测部分，主要是针对大规模对象进行预测-Support Vector Machine forecast, mainly for large-scale objects to predict

it is a library for SVM(support vector machines) to be used in matlab. It includes a readme file for details. It can be used to train SVM on some dataset and use it to predict values(Machine Learning).

支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and

使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.

支持向量机的回归拟合_混凝土抗压强度预测数据预测-Support vector machine (SVM) regression fitting _ forecast data to predict the compressive strength of concrete