A generalized grey model with symbolic regression algorithm and its application in predicting aircraft remaining useful life

As a sparse data analysis method, a grey model faces challenges in interpretability for its effective application in uncertain systems. This study proposes a generalized grey model (GGM) based on symbolic regression, designed to improve the intelligence and adaptability of grey models. The GGM serve...

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Vydané v:	Engineering applications of artificial intelligence Ročník 136; s. 108986
Hlavní autori:	Liu, Lianyi, Liu, Sifeng, Yang, Yingjie, Guo, Xiaojun, Sun, Jinghe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2024
Predmet:	Forecasting algorithm Grey system theory Model interpretability Structure identification Time series Structure identification Model interpretability Grey system theory Forecasting algorithm Time series
ISSN:	0952-1976
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