發(fā)布時(shí)間：2018-10-12 12:55

【摘要】：提出一種基于模糊數(shù)學(xué)分析的海量數(shù)據(jù)特征定位方法.在線性約束條件下構(gòu)建海量數(shù)據(jù)特征分布的模糊推理狀態(tài)特征方程,在有限維Morrey-Herz凸空間中對(duì)特征方程連續(xù)有界解的收斂性進(jìn)行分析.通過B錬cklund變換求得海量數(shù)據(jù)特征定位穩(wěn)定的周期點(diǎn),構(gòu)建分集聚斂目標(biāo)函數(shù)并進(jìn)行連續(xù)有界性和收斂性分析,實(shí)現(xiàn)海量數(shù)據(jù)特征定位點(diǎn)的模糊聚類.仿真實(shí)驗(yàn)結(jié)果表明,該方法的海量數(shù)據(jù)特征定位精度較高,收斂性好.
[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.
【作者單位】： 麗江師范高等�？茖W(xué)校數(shù)學(xué)與計(jì)算機(jī)科學(xué)系;
【基金】：云南省科技青年計(jì)劃項(xiàng)目(2013FD060)
【分類號(hào)】：O159
，

本文編號(hào)：2266190