文献
J-GLOBAL ID:201902236072628244
整理番号:19A1660978
局所性密度に基づくファジィ多重経験的カーネル学習【JST・京大機械翻訳】
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning
著者 (5件):
Fan Qi
(Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, People’s Republic of China)
,
Fan Qi
(Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China)
,
Wang Zhe
(Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, People’s Republic of China)
,
Wang Zhe
(Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China)
,
Gao Daqi
(Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China)
資料名:
Neural Processing Letters
(Neural Processing Letters)
巻:
49
号:
3
ページ:
1485-1509
発行年:
2019年
JST資料番号:
W0953A
ISSN:
1370-4621
CODEN:
NPLEFG
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)