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Analysis of the ensemble of regression algorithms for the analog circuit parametric identification
Authors:
- Piotr Bilski
- Record ID
- WUTdc6ce680bbdc48e48df0907b83a91619
- Author
- Journal series
- Measurement, ISSN 0263-2241, e-ISSN 1873-412X
- Issue year
- 2020
- Pages
- 1-9
- Publication size in sheets
- 0.50
- Article number
- 107829
- ASJC Classification
- ; ; ;
- DOI
- DOI:10.1016/j.measurement.2020.107829 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S0263224120303675?via%3Dihub Opening in a new tab
- Language
- (en) English
- License
- File
-
- File: 1
- Analysis of the ensemble of regression algorithms for the analog circuit parametric identification, File WUTdc6ce680bbdc48e48df0907b83a91619.pdf / 789 KB
- WUTdc6ce680bbdc48e48df0907b83a91619.pdf
- publication date: 25-01-2022
- Analysis of the ensemble of regression algorithms for the analog circuit parametric identification, File WUTdc6ce680bbdc48e48df0907b83a91619.pdf / 789 KB
-
- Score (nominal)
- 200
- Score source
- journalList
- Score
- = 200.0, 22-05-2022, ArticleFromJournal
- Publication indicators
- = 3; = 0; = 4; : 2017 = 1.566; : 2020 (2 years) = 3.927 - 2020 (5 years) =3.778
- Citation count
- 4
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- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUTdc6ce680bbdc48e48df0907b83a91619/
- URN
urn:pw-repo:WUTdc6ce680bbdc48e48df0907b83a91619
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.