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Выбор структуры нейронной сети для синтеза системы показателей надежности телекоммуникационных систем и сетей связи

Выбор структуры нейронной сети для синтеза системы показателей надежности телекоммуникационных систем и сетей связи

Abstract

The key aspect for the conduction of R&D is the assessment of the object reliability. However, the methods applied at reliability compliance tests focus on the analysis of separate objects (items) of the above system. Methods of expert analysis using artificial neural network theory can be used as the basis to solve the above mentioned tasks.

Одним из ключевых вопросов при проведении НИОКР является оценка надежности объекта. Однако методы, применяемые при контрольных испытаниях на надежность, ориентированы на анализ отдельных объектов (изделий) системы. Помочь в решении данной задачи могут методы экспертного анализа с использованием теории искусственных нейронных сетей (ИНС).

Keywords

ТЕЛЕКОММУНИКАЦИОННЫЕ СИСТЕМЫ,СЕТИ СВЯЗИ,СТРУКТУРА,СИСТЕМА ПОКАЗАТЕЛЕЙ НАДЕЖНОСТИ,ПОКАЗАТЕЛЬ НАДЕЖНОСТИ,ТЕОРИЯ НЕЙРОННЫХ СЕТЕЙ,СИНТЕЗ

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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