Regularized Least Squares Recursive Algorithm with Forgetting Factor for Identifying Parameters in the Grinding Process

This paper investigates a parameter identification problem in the grinding process. Due to the data saturated phenomenon and the ill-posed of parameter identification inverse problem, this paper presents a regularized least squares recursive algorithm with a forgetting factor (RLSRAFF), the basic id...

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Vydané v:	Journal of Mathematics Ročník 2022; číslo 1
Hlavní autori:	Yu, Yang, Deng, Rui, Yu, Gang, Wang, Yu, Yang, Guodong, Zhao, DaYong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo Hindawi 27.09.2022 John Wiley & Sons, Inc Wiley
Predmet:	Algorithms Classification Comparative analysis Convergence Error analysis Error reduction Grinding Inverse problems Least squares Mathematical analysis Mathematical models Mathematics Neural networks Parameter identification Process parameters Random variables Recursive functions Regularization Regularization methods China
ISSN:	2314-4629, 2314-4785
On-line prístup:	Získať plný text
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