APPLICATION OF THE KERNEL PROBABILITY DENSITY ESTIMATE TO SOLVE THE PROBLEM OF CLASSIFICATION OF THE TECHNICAL CONDITION OF COMPLEX SYSTEMS
- 作者: Zayara A.V.1, Fandeev V.P.2
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隶属关系:
- Military Innovative Technopolis "ERA"
- Branch of the Military Academy of Logistics named after Army General A.V. Khrulev in Penza
- 期: 编号 1 (2025)
- 页面: 117-125
- 栏目: DIAGNOSTIC METHODS FOR ENSURING RELIABILITY AND QUALITY OF COMPLEX SYSTEMS
- URL: https://ogarev-online.ru/2307-4205/article/view/289990
- DOI: https://doi.org/10.21685/2307-4205-2025-1-15
- ID: 289990
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Background. In order to increase the versatility of modeling in the process of recognizing the technical condition of a complex system, a solution to the problem of its statistical classification is proposed. Materials and methods. Belonging of the current state to a certain class is estimated by confirming the hypothesis using a decision function based on the concept of "inductive behavior". Results and conclusions. Confirmation is carried out by estimating the probability of the current parameters of the object falling into a two-dimensional parallelepiped of the joint density function, determined using the method of kernel probability density estimation.
作者简介
Andrey Zayara
Military Innovative Technopolis "ERA"
编辑信件的主要联系方式.
Email: zaw1966@mail.ru
Candidate of technical sciences, senior research fellow of the research department
(41 Pionersky avenue, Anapa, Russia)Vladimir Fandeev
Branch of the Military Academy of Logistics named after Army General A.V. Khrulev in Penza
Email: fandeevVP@mail.ru
Doctor of technical sciences, professor, lecturer of the sub-department of general professional disciplines
(Military town, Penza, Russia)参考
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