文献
J-GLOBAL ID:201802210795279658
整理番号:18A0447311
サポートベクトルマシンに基づく区間不確実性の下での逐次多目的ロバスト最適化アプローチ【Powered by NICT】
A sequential multi-objective robust optimization approach under interval uncertainty based on support vector machines
著者 (5件):
Xie Tingli
(The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science & Technology, 430074 Wuhan, PR China)
,
Zhou Qi
(The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science & Technology, 430074 Wuhan, PR China)
,
Hu Jiexiang
(The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science & Technology, 430074 Wuhan, PR China)
,
Shu Leshi
(The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science & Technology, 430074 Wuhan, PR China)
,
Jiang Ping
(The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science & Technology, 430074 Wuhan, PR China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
IEEM
ページ:
2088-2092
発行年:
2017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)