文件名称:SVMANN_matlab_code.
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使用支持向量机进行非线性回归,得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式,
求解二次规划时调用了优化工具箱的quadprog函数。本函数在程序入口处对数据进行了
[-1,1]的归一化处理,所以计算得到的回归解析式的系数是针对归一化数据的,仿真测
试需使用与本函数配套的Regression函数。- Using non-linear support vector machine regression, nonlinear function y = f (x1, x2, ..., xn) support vector analytic, Optimization Toolbox quadprog call function when solving quadratic programming. The function of the data in the program carried out at the entrance [-1,1] of normalization, so the regression coefficients calculated analytical formula is for the normalization of data, simulation test test need to use this function supporting The Regression functions.
求解二次规划时调用了优化工具箱的quadprog函数。本函数在程序入口处对数据进行了
[-1,1]的归一化处理,所以计算得到的回归解析式的系数是针对归一化数据的,仿真测
试需使用与本函数配套的Regression函数。- Using non-linear support vector machine regression, nonlinear function y = f (x1, x2, ..., xn) support vector analytic, Optimization Toolbox quadprog call function when solving quadratic programming. The function of the data in the program carried out at the entrance [-1,1] of normalization, so the regression coefficients calculated analytical formula is for the normalization of data, simulation test test need to use this function supporting The Regression functions.
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SVMANN_matlab_code..txt
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