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Формирование решающих правил для оценки состояния транспортно-технологических машин на основе методов интеллектуального анализа данных

Формирование решающих правил для оценки состояния транспортно-технологических машин на основе методов интеллектуального анализа данных

Abstract

In article creation diagnostic models of an estimation states of transport-technological machines on the basis of "decision trees" technology is resulted

В статье приводится построение диагностических моделей оценки состояний транспортно-технологических машин на основе технологии «деревьев решений»

Keywords

ДИАГНОСТИЧЕСКИЕ МОДЕЛИ, "ДЕРЕВЬЯ РЕШЕНИЙ", ОЦЕНКА СОСТОЯНИЙ, ПРИНЯТИЕ РЕШЕНИЙ, ТРАНСПОРТНО-ТЕХНОЛОГИЧЕСКИЕ МАШИНЫ, "DECISION TREES"

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold