文献
J-GLOBAL ID:202202262979948844
整理番号:22A0640314
深層移動学習に基づく粉砕工作物のための表面粗さグレード認識モデル【JST・京大機械翻訳】
A surface roughness grade recognition model for milled workpieces based on deep transfer learning
著者 (6件):
Su Jinzhao
(School of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, People’s Republic of China)
,
Yi Huaian
(School of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, People’s Republic of China)
,
Ling Lin
(School of Foreign Languages, Guilin University of Technology, Guilin 541004, People’s Republic of China)
,
Wang Shuai
(School of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, People’s Republic of China)
,
Jiao Yanming
(School of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, People’s Republic of China)
,
Niu Yilun
(School of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, People’s Republic of China)
資料名:
Measurement Science and Technology
(Measurement Science and Technology)
巻:
33
号:
4
ページ:
045014 (11pp)
発行年:
2022年
JST資料番号:
C0354C
ISSN:
0957-0233
CODEN:
MSTCEP
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)