A New Method for Optimal Regularization Parameter Determination in the Inverse Problem of Load Identification
According to the regularization method in the inverse problem of load identification, a new method for determining the optimal regularization parameter is proposed. Firstly, quotient function (QF) is defined by utilizing the regularization parameter as a variable based on the least squares solution...
Saved in:
Main Authors: | Wei Gao, Kaiping Yu, Ying Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2016/7328969 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Method for Determining Optimal Regularization Parameter in Near-Field Acoustic Holography
by: Yue Xiao
Published: (2018-01-01) -
A Comparative Study of Regularization Method in Structure Load Identification
by: Bingrong Miao, et al.
Published: (2018-01-01) -
Kernel Sliced Inverse Regression: Regularization and Consistency
by: Qiang Wu, et al.
Published: (2013-01-01) -
Regularization of Inverse Initial Problem for Conformable Pseudo-Parabolic Equation with Inhomogeneous Term
by: L. D. Long, et al.
Published: (2022-01-01) -
Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application
by: Chunsheng Liu, et al.
Published: (2019-01-01)