Improved Redundant Rule-Based Stochastic Gradient Algorithm for Time-Delayed Models Using Lasso Regression

Improved Redundant Rule-Based Stochastic Gradient Algorithm for Time-Delayed Models Using Lasso Regression

This paper proposes an improved redundant rule based lasso regression stochastic gradient (RR-LR-SG) algorithm for time-delayed models. The improved SG algorithm can update the parameter elements with different step-sizes and directions, thus it is more adaptive; while the lasso regression method ca...

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Bibliographic Details
Main Authors: Hangtao Zhao, Lixin Lv, Yuejiang Ji
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Parameter estimation
time-delayed model
lasso regression
redundant rule
stochastic gradient algorithm
Online Access:https://ieeexplore.ieee.org/document/9663158/

Internet

https://ieeexplore.ieee.org/document/9663158/

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