文献
J-GLOBAL ID:201802221328849305
整理番号:18A1862535
非線形および非凸最適化問題を解くための新しい有限時間可変パラメータ収束微分ニューラルネットワーク【JST・京大機械翻訳】
A new finite-time varying-parameter convergent-differential neural-network for solving nonlinear and nonconvex optimization problems
著者 (6件):
Zhang Zhijun
(Associate Professor in school of Automation Science and Engineering, South China University of Technology, China)
,
Zheng Lunan
(Student in school of Automation Science and Engineering, South China University of Technology, China)
,
Li Lingao
(Student in school of Automation Science and Engineering, South China University of Technology, China)
,
Deng Xiaoyan
(Experimentalist in school of Automation Science and Engineering, South China University of Technology, China)
,
Xiao Lin
(Associate Professor in College of Information Science and Engineering, Jishou University, China)
,
Huang Guoshun
(Professor in the School of Mathematics and Big Data, Foshan University, China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
319
ページ:
74-83
発行年:
2018年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)