Prediction Based on the Solution of the Set of Classification Problems of Supervised Learning and Degrees of Membership

被引：0

作者：

Lukanin, A. A. ^{[1
]}

Ryazanov, V. V. ^{[1
,2
]}

Kiselyova, N. N. ^{[3
]}

机构：

[1] Natl Res Univ, Moscow Inst Phys & Technol, Moscow 115184, Russia

[2] Russian Acad Sci, Fed Res Ctr, Comp Sci & Control, Moscow 119333, Russia

[3] Russian Acad Sci, Baikov Inst Met & Mat Sci, Moscow 119991, Russia

来源：

PATTERN RECOGNITION AND IMAGE ANALYSIS | 2020年 / 30卷 / 01期

基金：

俄罗斯基础研究基金会;

关键词：

regression; dependence; feature; classification algorithm; linear corrector; algorithm for calculating estimates; degree of membership;

D O I：

10.1134/S1054661820010095

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

It is proposed to use the degrees of membership of objects to each class in the process of recognition in the linear corrector model to solve the problem of restoring dependences from precedent samples. Two models of the algorithm for calculating estimates are used as classifiers. The work of the proposed model is compared with the original method and with the well-known data analysis methods. The dependence of the work of the linear corrector on its parameters is studied.

引用

页码：63 / 69

页数：7

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