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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.

Authors :
安 琪
梁宇飞
王耀强
王占彬
李 争
李 峥
安国庆
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