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Классификация технологических структур искусственными нейронными сетями

Классификация технологических структур искусственными нейронными сетями

Abstract

Предложен метод классификации структуры технологического процесса механической обработки на основе искусственной нейронной сети, которая дает возможность оценить степень концентрации и дифференциации операций технологического процесса. The discriminatory analysis of structure of a manufacturing method of machining job is offered on the basis of an artificial neural network which enables to estimate extent of density and differentiation of operations of a manufacturing method.

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Keywords

расстояние Хемминга, положение объекта обработки, технологические операции, технологический процесс, обработка поверхности, блок инструментов

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Green