使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model

支持向量机的混沌是假序列预测研究，支持最小二乘法的向量机-SVM is a false prediction of chaotic sequence, least squares support vector machine