文献
J-GLOBAL ID:202102241380956386
整理番号:21A2341254
眼球追跡に基づく原子力発電所における精神的作業負荷予測のための人工ニューラルネットワークの利用【JST・京大機械翻訳】
Using Artificial Neural Networks for Predicting Mental Workload in Nuclear Power Plants Based on Eye Tracking
著者 (6件):
Wu Yiqian
(China Nuclear Power Design Co., Ltd (Shenzhen), State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, Shenzhen, Guangdong 518045, China)
,
Liu Zhiyao
(China Nuclear Power Design Co., Ltd (Shenzhen), State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, Shenzhen, Guangdong 518045, China)
,
Jia Ming
(China Nuclear Power Design Co., Ltd (Shenzhen), State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, Shenzhen, Guangdong 518045, China)
,
Tran Cong Chi
(Harbin Engineering University, College of Mechanical and Electrical Engineering, Harbin 150001, China)
,
Yan Shengyuan
(Harbin Engineering University, College of Mechanical and Electrical Engineering, Harbin 150001, China)
,
Yan Shengyuan
(Harbin Engineering University, Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin 150001, China)
資料名:
Nuclear Technology
(Nuclear Technology)
巻:
206
号:
1
ページ:
94-106
発行年:
2020年
JST資料番号:
C0265B
ISSN:
0029-5450
CODEN:
NUTYBB
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)