文献
J-GLOBAL ID:202102287380277124
整理番号:21A1516122
人工的ミツバチコロニーアルゴリズム最適化深信念ネットワークに基づく石炭せん断器の健康状態認識【JST・京大機械翻訳】
Health Status Recognition of Coal Shearer Based on Artificial Bee Colony Algorithm Optimized Deep Belief Network
著者 (4件):
Cao Xiangang
(Mechanical Engineering college, Xian University of Science and Technology, Shaanxi key laboratory of mine mechanical and electromechanical equipment Intelligent Monitoring,Xian,China)
,
Li Yanchuan
(Mechanical Engineering college, Xian University of Science and Technology, Shaanxi key laboratory of mine mechanical and electromechanical equipment Intelligent Monitoring,Xian,China)
,
Lei Yinan
(Mechanical Engineering college, Xian University of Science and Technology, Shaanxi key laboratory of mine mechanical and electromechanical equipment Intelligent Monitoring,Xian,China)
,
Zhang Mengyuan
(Mechanical Engineering college, Xian University of Science and Technology, Shaanxi key laboratory of mine mechanical and electromechanical equipment Intelligent Monitoring,Xian,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICMCCE
ページ:
1832-1836
発行年:
2020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)