文献
J-GLOBAL ID:201802274409974273
整理番号:18A0391107
Hopfield連想記憶ニューラルネットワークと電極変位信号特徴のChernoff顔記述に基づくスポット溶接のための自動溶接品質分類【Powered by NICT】
Automatic welding quality classification for the spot welding based on the Hopfield associative memory neural network and Chernoff face description of the electrode displacement signal features
著者 (6件):
Zhang Hongjie
(Tianjin Key Laboratory of Modern Mechatronics Equipment Technology, School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin 300387, China)
,
Hou Yanyan
(School of Control and Mechanical Engineering , Tianjin Chengjian University, Tianjin 300384, China)
,
Zhao Jian
(School of Control and Mechanical Engineering , Tianjin Chengjian University, Tianjin 300384, China)
,
Wang Lijing
(School of Control and Mechanical Engineering , Tianjin Chengjian University, Tianjin 300384, China)
,
Xi Tao
(Tianjin Key Laboratory of Modern Mechatronics Equipment Technology, School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin 300387, China)
,
Li Yafeng
(Tianjin Key Laboratory of Modern Mechatronics Equipment Technology, School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin 300387, China)
資料名:
Mechanical Systems and Signal Processing
(Mechanical Systems and Signal Processing)
巻:
85
ページ:
1035-1043
発行年:
2017年
JST資料番号:
T0514A
ISSN:
0888-3270
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)