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基于幂级数构造的超核支持向量机的性能研究
引用本文:周学君,唐轶.基于幂级数构造的超核支持向量机的性能研究[J].高师理科学刊,2014(1):12-15.
作者姓名:周学君  唐轶
作者单位:[1]黄冈师范学院数学与计算机科学学院,湖北黄冈438000 [2]云南民族大学数学与计算机科学学院,云南昆明650500
基金项目:湖北省教育厅科学研究项目(B20122705);黄冈师范学院科学研究项目(2013020103)
摘    要:依据模式识别中核函数的相关理论,具体地构造了一种基于幂级数构造的超核函数,并将该超核应用于支持向量机中.实验结果证明了基于幂级数构造的超核支持向量机的优越性能.

关 键 词:超核函数  支持向量机  再生核Hilbert空间

Performance research of support vector machines with hyperkernel functions based on power series
ZHOU Xue-jun,TANG Yi.Performance research of support vector machines with hyperkernel functions based on power series[J].Journal of Science of Teachers'College and University,2014(1):12-15.
Authors:ZHOU Xue-jun  TANG Yi
Institution:1. School of Mathematics and Computer Science, Huanggang Normal University, Huanggang 438000, China; 2. School of Mathematics and Computer Science, Yunnan University of Nationalities, Kunming 650500, China )
Abstract:Proposed a kind of hyperkernel function based on power series, which is constructed by theories of kernel functions of pattern reorganization. And applied the hyperkernel to support vector machines. The experimental results illuminated the superiority of support vector machines with hyperkernel function based on power series.
Keywords:hyperkernel function  support vector machine  reproducing kernel Hilbert space
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