现代电子技术2017，Vol.40Issue(16)：26-28,3.DOI:10.16652/j.issn.1004-373x.2017.16.007
海量信息中模糊数据定位数学模型设计
Design of mathematical model for fuzzy data location in mass information
摘要
Abstract
The fuzzy data in vast amounts of information has the characteristics of uncertainty and divergence,and its accurate positioning is difficult.Therefore,a design method of positioning mathematical model for fuzzy data in mass information is put forward in this paper,which is based on quadratic programming of support vector machine.The high-order linear differential equations for fuzzy data location are constructed in convex spaces to obtain the maximum linearly independent group for fuzzy data location.The support vector machine model is used to obtain the clustering center of data location.The neighborhood data set of the clustering center is taken as the training.The quadratic programming method for convex combination is adopted for Lyapunove functional to realize fuzzy data positioning.The data test results show that the this method has high accuracy for data positioning and perfect convergence.关键词
海量信息/数据定位/数学模型/微分方程Key words
mass information/data location/mathematical model/differential equation分类
信息技术与安全科学引用本文复制引用
丁晓丽..海量信息中模糊数据定位数学模型设计[J].现代电子技术,2017,40(16):26-28,3.基金项目
国家自然科学基金研究项目(31501552) （31501552）
