doi:10.16186/j.cnki.1673-9787.2020090051

Received:2020/09/11

Revised:2020/11/03

Published:2022/05/15

A clock offset prediction model with quadratic polynomial based on LASSO algorithm

LI Kun1, WANG Qianxin1, MIN Yanghai2, GONG Youxing3, MIAO Wei1, CHENG Tong1

1.School of Environment and Geoinformatics ， China University of Mining and Technology， Xuzhou  221116 ， Jiangsu， China;2.Suzhou Real Estate Market and Transaction Management Center， Suzhou  215002 ， Jiangsu， China;3.School of Military Commanding Officer Basic Education，National University of Defense Technology，Changsha  410072，Hunan，China

Abstract: In order to solve the problems of model over-fitting and low prediction accuracy of the least squares estimation (LSQ) in processing high-dimensional data model formulas,the LASSO algorithm was used to solve the overall model of the quadratic polynomial model with periodic terms , and 6 ,12 ,18,24 h accuracy analysis of the prediction experiment respectively was carried out. The result showed that the LASSO algorithm could effectively avoid the over-fitting phenomenon in the solution of model parameters , greatly improve the prediction accuracy of the quadratic polynomial, and as the prediction time increased,the advantages of the lasso algorithm increased obviously.

Key words:quadratic polynomial;period term;LASSO;least squares estimation;over-fitting

附有周期项的二次多项式LASSO钟差预报模型_李坤.pdf