文献
J-GLOBAL ID:202002237968985016
整理番号:20A2500752
決定木と改良型SVMに基づく異常電力消費検出技術の研究【JST・京大機械翻訳】
Research on Abnormal Power Consumption Detection Technology Based on Decision Tree and Improved SVM
著者 (4件):
Wang Hongjun
(Tianjin University of Technology,Tianjin Key Laboratory for Control Theory and Applications in Complicated System,Tianjin,China,300384)
,
Li Zhiqi
(Tianjin University of Technology,Tianjin Key Laboratory for Control Theory and Applications in Complicated System,Tianjin,China,300384)
,
Zhao Hui
(Tianjin University of Technology,Tianjin Key Laboratory for Control Theory and Applications in Complicated System,Tianjin,China,300384)
,
Yue Youjun
(Tianjin University of Technology,Tianjin Key Laboratory for Control Theory and Applications in Complicated System,Tianjin,China,300384)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICMA
ページ:
1687-1691
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)