Statistical Recognition Method Based on Nonlinear Regression

被引：0
作者：
Gavrikov B.M. [1 ]
Gavrikov M.B. [2 ]
Pestryakova N.V. [3 ]
机构：
[1] Moscow City Oncology Hospital No. 62, Moscow Healthcare Department, Moscow
[2] Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow
[3] Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow
来源：
Mathematical Models and Computer Simulations | 2020年 / 12卷 / 6期
关键词：
body system; classification; handwritten symbol; human health condition; peripheral blood; polynomial regression; printed symbol; recognition; statistical method;
D O I：
10.1134/S2070048220060083
中图分类号：
学科分类号：
摘要：
Abstract: This study is devoted to the statistical method of classification based on nonlinear regression. The approaches used to implement it in solving the recognition problem of printed and handwritten characters are presented. Its implementation in assessing the health of the systems of the human body according to the parameters of peripheral blood is presented for the first time. The optimal structure of the polynomials is proposed. The properties of the probability estimates generated by the method are described. The structure of the sets used to train it is analyzed. © 2020, Pleiades Publishing, Ltd.
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页码：996 / 1004
页数：8
相关论文
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