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A Study on Piecewise Polynomial Smooth Approximation to the Plus Function

机译:正函数的分段多项式光滑逼近的研究

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In smooth support vector machine (SSVM), the plus function must be approximated by some smooth function, and the approximate error will affect the classification ability. This paper studies the smooth approximation to the plus function by piecewise polynomials. First, some standard piecewise polynomial smooth approximation problems are formulated. Then, the existence and uniqueness of solution for these problems are proved and the analytic solutions are achieved. The comparison between the results in this paper and the previous ones shows that the piecewise polynomial functions in this paper achieve better approximation to the plus function
机译:在光滑的支持向量机(SSVM)中,加上函数必须通过一些平滑函数近似,并且近似误差会影响分类能力。本文通过分段多项式研究了与加函数的平滑近似。首先,配制了一些标准的分段多项式平滑近似问题。然后,证明了这些问题的解决方案的存在和唯一性,并实现了分析解决方案。本文的结果与之前的结果表明,本文中的分段多项式函数对加函数实现了更好的近似

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