文献
J-GLOBAL ID:201802211142350821
整理番号:18A1589433
深層学習による限定データ非線形トモグラフィー吸収分光法の再構成【JST・京大機械翻訳】
Reconstruction for limited-data nonlinear tomographic absorption spectroscopy via deep learning
著者 (4件):
Huang Jianqing
(Key Lab of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China)
,
Liu Hecong
(Key Lab of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China)
,
Dai Jinghang
(Key Lab of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China)
,
Cai Weiwei
(Key Lab of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China)
資料名:
Journal of Quantitative Spectroscopy & Radiative Transfer
(Journal of Quantitative Spectroscopy & Radiative Transfer)
巻:
218
ページ:
187-193
発行年:
2018年
JST資料番号:
H0072A
ISSN:
0022-4073
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)