文献
J-GLOBAL ID:202202234878099144
整理番号:22A0845086
レーザ誘起破壊分光法の新しいデータ解析法の簡単なレビュー:機械学習【JST・京大機械翻訳】
A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning
著者 (7件):
Zhang Dianxin
(Superconductivity and New Energy R & D Center, Southwest Jiaotong University, Chengdu, China)
,
Zhang Hong
(Superconductivity and New Energy R & D Center, Southwest Jiaotong University, Chengdu, China)
,
Zhao Yong
(Superconductivity and New Energy R & D Center, Southwest Jiaotong University, Chengdu, China)
,
Chen Yongliang
(Superconductivity and New Energy R & D Center, Southwest Jiaotong University, Chengdu, China)
,
Ke Chuan
(Superconductivity and New Energy R & D Center, Southwest Jiaotong University, Chengdu, China)
,
Xu Tao
(Laboratory for Superconductivity and Material Applications, College of Physics and Energy, Fujian Normal University, Fuzhou, China)
,
He Yaxiong
(Laboratory for Superconductivity and Material Applications, College of Physics and Energy, Fujian Normal University, Fuzhou, China)
資料名:
Applied Spectroscopy Reviews
(Applied Spectroscopy Reviews)
巻:
57
号:
2
ページ:
89-111
発行年:
2022年
JST資料番号:
B0804A
ISSN:
0570-4928
資料種別:
逐次刊行物 (A)
記事区分:
文献レビュー
発行国:
イギリス (GBR)
言語:
英語 (EN)