基于模糊数学的海量数据特征定位研究

发布时间：2018-10-12 12:55

【摘要】：提出一种基于模糊数学分析的海量数据特征定位方法.在线性约束条件下构建海量数据特征分布的模糊推理状态特征方程,在有限维Morrey-Herz凸空间中对特征方程连续有界解的收敛性进行分析.通过B錬cklund变换求得海量数据特征定位稳定的周期点,构建分集聚敛目标函数并进行连续有界性和收敛性分析,实现海量数据特征定位点的模糊聚类.仿真实验结果表明,该方法的海量数据特征定位精度较高,收敛性好.
[Abstract]:This paper presents a feature location method for massive data based on fuzzy mathematics analysis. The fuzzy inference state characteristic equation of mass data feature distribution is constructed under the condition of linear constraint. The convergence of the continuous bounded solution of the characteristic equation is analyzed in finite dimensional Morrey-Herz convex space. In this paper, the stable periodic points of mass data feature location are obtained by B cklund transform, and the objective function of diversity convergence is constructed, and the continuous boundedness and convergence analysis are carried out to realize the fuzzy clustering of mass data feature location points. The simulation results show that the method has high accuracy and good convergence.
【作者单位】： 丽江师范高等专科学校数学与计算机科学系;
【基金】：云南省科技青年计划项目(2013FD060)
【分类号】：O159
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本文编号：2266190