DYNAMIC CLASSIFICATION SYSTEMS WITH LEARNING FROM OBSERVATION CATALOGS

被引：1

作者：

FILOSOFOV, LV

机构：

来源：

CYBERNETICS AND SYSTEMS ANALYSIS | 1992年 / 28卷 / 03期

关键词：

D O I：

10.1007/BF01125417

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider some principles for the development of classification systems for dynamic objects with variable properties that are observed under changing conditions. Algorithms are proposed for classification and prior description of the objects by learning from previous observations. Construction of observation catalogs to be used for learning is discussed.

引用

页码：368 / 376

页数：9

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