文献
J-GLOBAL ID:202002284825811074
整理番号:20A0497517
ハイブリッド特徴とリカレントニューラルネットワークに基づく麻酔深度のモニタリング【JST・京大機械翻訳】
Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network
著者 (9件):
Li Ronglin
(School of Information Science and Engineering, Shandong University, Qingdao, China)
,
Wu Qiang
(School of Information Science and Engineering, Shandong University, Qingdao, China)
,
Wu Qiang
(Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China)
,
Liu Ju
(School of Information Science and Engineering, Shandong University, Qingdao, China)
,
Liu Ju
(Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China)
,
Wu Qi
(Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, China)
,
Li Chao
(Tensor Learning Unit, RIKEN AIP, Tokyo, Japan)
,
Zhao Qibin
(Tensor Learning Unit, RIKEN AIP, Tokyo, Japan)
,
Zhao Qibin
(School of Automation, Guangdong University of Technology, Guangzhou, China)
資料名:
Frontiers in Neuroscience (Web)
(Frontiers in Neuroscience (Web))
巻:
14
ページ:
26
発行年:
2020年
JST資料番号:
U7087A
ISSN:
1662-453X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)