【摘要】 支持向量机是数据挖掘中的研究方法,由于其具有特有的优点,因此应用广泛。光滑支持向量机是标准支持向量机的一种改进形式,其应用已显示出了优越性。2005年袁玉波等人提出多项式光滑函数,得到一个多项式光滑的支持向量机模型。该文研究如何用二分法和不动点迭代法来分析多项式光滑函数的精度。更多还原

【Abstract】 Support vector machine is a new method in data mining.Because of its unique advantages,so it is widely used.Smooth support vector machine is an improved form of the standard support vector machine,its application has shown the superiority.2005 Yuan etc.made a smooth polynomial function,and proposed a polynomial smooth support vector machine model.This paper studies how to use the dichotomy and the fixed point iteration method to analyze the accuracy of the polynomial smooth function.更多还原