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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Bibliographic Details
Published in:	Journal of Mathematics Vol. 2022; no. 1
Main Authors:	Yu, Yang, Deng, Rui, Yu, Gang, Wang, Yu, Yang, Guodong, Zhao, DaYong
Format:	Journal Article
Language:	English
Published:	Cairo Hindawi 27.09.2022 John Wiley & Sons, Inc Wiley
Subjects:	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
Online Access:	Get full text
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