Automation of Information Processing in the Intelligent System of Marine Monitoring

被引：1

作者：

Pyatakovich, V. A. ^{[1
]}

Nikolaev, A., V ^{[2
]}

Kostikov, E. A. ^{[3
]}

Khotinskii, O., V ^{[3
]}

机构：

[1] Pacific Higher Naval Sch, Vladivostok, Russia

[2] Russian Acad Sci, Mech Engn Res Inst, Moscow, Russia

[3] Maritime State Univ, Vladivostok, Russia

来源：

JOURNAL OF MACHINERY MANUFACTURE AND RELIABILITY | 2021年 / 50卷 / 07期

关键词：

marine intelligent autonomous classification system; sampling; instance selection; data reduction; data mining; reduction of data dimensionality;

D O I：

10.3103/S1052618821070104

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A solution to the problem of sampling to automate sea target (ST) classification by features is presented. A new method of generation of training samples is proposed, which preserves the topological properties of the original sample in the generated subsample and does not require loading the whole sample in the computer memory, which makes it possible to reduce the sample volume and lower the requirements for resources of the intelligent ST classification system operating in an autonomous mode.

引用

页码：634 / 641

页数：8

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