Huang, Haojie; Song, Yedong; Peng, Xin; Ding, Steven X.; Zhong, Weimin; Du, Wei:
A Sparse Nonstationary Trigonometric Gaussian Process Regression and its Application on Nitrogen Oxides Prediction of the Diesel Engine
In: IEEE Transactions on Industrial Informatics (T-IINF) / Institute of Electrical and Electronics Engineers (IEEE) (Eds.). , Vol. 17 (2021), No. 12, pp. 8367 - 8377
2021article/chapter in journalClosed access
Mechanical EngineeringFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
A Sparse Nonstationary Trigonometric Gaussian Process Regression and its Application on Nitrogen Oxides Prediction of the Diesel Engine
Author:
Huang, Haojie
ORCID
0000-0002-9473-4851ORCID iD
;Song, Yedong
;Peng, Xin
ORCID
0000-0001-9277-8415ORCID iD
Other
corresponding author
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Zhong, Weimin
ORCID
0000-0002-4285-4739ORCID iD
Other
corresponding author
;Du, Wei
ORCID
0000-0003-3976-2275ORCID iD
Year of publication:
2021
Open Access?:
Closed access
DOI
10.1109/TII.2021.3068288
IEEE ID
9384285
Web of Science ID
000690940600048
Scopus ID
85103243454
Language of text:
English
Appears in
IEEE Transactions on Industrial Informatics (T-IINF)
Title in English (abbreviated):
IEEE Trans. Ind. Inf.
Editor:
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication:
Piscataway
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
in:
Vol. 17 (2021), No. 12, pp. 8367 - 8377
ISSN
1941-0050 Show availability online & print
ISSN
1551-3203 Show availability online & print
ZDB ID
2172163-4
Type of resource:
Text
Keyword, Topic:
Computational complexity ; Diesel engines ; Gaussian process regression ; Gaussian processes ; Informatics ; Kernel ; nonstationarity ; sparse Gaussian process regression ; Sparse representation ; Standards
Type of resource:
Text