文献
J-GLOBAL ID:201802258162339481
整理番号:18A0936316
ローリング交差検証による自己適応型マルチバース最適化ベースサポートベクトルマシンを用いた中国におけるエネルギー消費の推定【JST・京大機械翻訳】
Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation
著者 (4件):
Wang Xiaoyu
(School of Business Administration, China University of Petroleum (Beijing), No.18, Fuxue Road, Changping District, Beijing 102249, China)
,
Luo Dongkun
(School of Business Administration, China University of Petroleum (Beijing), No.18, Fuxue Road, Changping District, Beijing 102249, China)
,
Zhao Xu
(School of Business Administration, China University of Petroleum (Beijing), No.18, Fuxue Road, Changping District, Beijing 102249, China)
,
Sun Zhu
(School of Business Administration, China University of Petroleum (Beijing), No.18, Fuxue Road, Changping District, Beijing 102249, China)
資料名:
Energy
(Energy)
巻:
152
ページ:
539-548
発行年:
2018年
JST資料番号:
H0631A
ISSN:
0360-5442
CODEN:
ENEYDS
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)