Active learning accelerated Monte-Carlo simulation based on the modified K-nearest neighbors algorithm and its application to reliability estimations

This paper proposes an active learning accelerated Monte-Carlo simulation method based on the modified K-nearest neighbors algorithm. The core idea of the proposed method is to judge whether or not the output of a random input point can be postulated through a classifier implemented through the modi...

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Библиографические подробности

Главные авторы:	Zhifeng Xu, Jiyin Cao, Gang Zhang, Xuyong Chen, Yushun Wu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	KeAi Communications Co., Ltd. 2023-10-01
Серии:	Defence Technology
Предметы:	Active learning Monte-carlo simulation K-nearest neighbors Reliability estimation Classification
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2214914722002021
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