文献
J-GLOBAL ID:201902216675927793
整理番号:19A0916619
因子分析法と改良重力探索アルゴリズム-極端学習機械に基づく中国における台風に起因する低電圧線損傷の予測【JST・京大機械翻訳】
Forecasting the Low-Voltage Line Damage Caused by Typhoons in China Based on the Factor Analysis Method and an Improved Gravitational Search Algorithm-Extreme Learning Machine
著者 (5件):
Wang Weijun
(Department of Economics and Management, North China Electric Power University, Baoding 071000, China)
,
Peng Weisong
(Department of Economics and Management, North China Electric Power University, Baoding 071000, China)
,
Tan Xin
(Department of Economics and Management, North China Electric Power University, Baoding 071000, China)
,
Wang Haoyue
(Department of Economics and Management, North China Electric Power University, Baoding 071000, China)
,
Sun Chenjun
(Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China)
資料名:
Energies (Web)
(Energies (Web))
巻:
11
号:
9
ページ:
2321
発行年:
2018年
JST資料番号:
U7016A
ISSN:
1996-1073
CODEN:
ENERGA
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)