DocumentCode
2524938
Title
Modified dynamic data rectification with differential evolution
Author
Lin, Gao
Author_Institution
Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2011
fDate
23-25 May 2011
Firstpage
3993
Lastpage
3997
Abstract
A modified dynamic data rectification model is proposed aiming at improving the efficiency of classical one which has the problem that when the variance of single measurement point random error distribution is larger than other points. Moreover, a new differential evolution (DE) algorithm is applied to solve a dynamic data rectification problem with the modified model. The promising results illustrate the efficiency of the proposed method and show that it could be used as a reliable tool for solving dynamic data rectification problems.
Keywords
data analysis; evolutionary computation; random processes; DE algorithm; differential evolution; dynamic data rectification problems; modified dynamic data rectification; reliable tool; single measurement point random error distribution; Atmospheric modeling; Chemical engineering; Computational modeling; Data models; Equations; Mathematical model; Measurement uncertainty; DE; data rectification; random error;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968921
Filename
5968921
Link To Document