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基于K-means聚类与PSO特征优选KNN的分级负荷识别方法.
- Source :
- Journal of Hebei University of Science & Technology; Jun2022, Vol. 43 Issue 3, p249-258, 10p
- Publication Year :
- 2022
-
Abstract
- <i>Copyright of Journal of Hebei University of Science & Technology is the property of Hebei University of Science & Technology, Journal of Hebei University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
Details
- Language :
- Chinese
- ISSN :
- 10081542
- Volume :
- 43
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Hebei University of Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 158126423
- Full Text :
- https://doi.org/10.7535/hbkd.2022yx03004