最小二乘支持向量机参数选择方法及其应用研究

Method for Selecting Parameters of Least Squares Support Vector Machines and Application

针对最小二乘支持向量机参数选择问题,提出了一种基于三步搜索技术的参数选择方法,理论分析表明了这种方法的有效性和优越性,可以优化选择最小二乘支持向量机参数。然后把该方法用于钢材淬透性建模中的参数选择,仿真结果表明,这种方法可以得到优化的参数,从而获得精确的建模效果。

Three step search method for selecting the parameters of least squares support vector machines is presented. Theoretical analysis indicates that this method is effective and superior for selecting the optimized parameters of least squares support vector machines, The steel＇s harden-ability is predicted using this method for selecting the parameters of least squares support vector machines, The simulation result shows that this method can get optimized parameters and precise modeling effect,