文献
J-GLOBAL ID:201702279161300734
整理番号:17A1093625
複合試料のスペクトル定量分析のための極端学習機械の予測安定性の改善のためのサバッギング【Powered by NICT】
Subagging for the improvement of predictive stability of extreme learning machine for spectral quantitative analysis of complex samples
著者 (9件):
Zhang Caixia
(State Key Laboratory of Separation Membranes and Membrane Processes, Tianjin Polytechnic University, Tianjin, PR China)
,
Zhang Caixia
(School of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin, PR China)
,
Bian Xihui
(State Key Laboratory of Separation Membranes and Membrane Processes, Tianjin Polytechnic University, Tianjin, PR China)
,
Bian Xihui
(School of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin, PR China)
,
Liu Peng
(School of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin, PR China)
,
Tan Xiaoyao
(State Key Laboratory of Separation Membranes and Membrane Processes, Tianjin Polytechnic University, Tianjin, PR China)
,
Fan Qingjie
(Tianjin Green Security Technology Co. Ltd, Tianjin, PR China)
,
Liu Wei
(School of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin, PR China)
,
Lin Ligang
(State Key Laboratory of Separation Membranes and Membrane Processes, Tianjin Polytechnic University, Tianjin, PR China)
資料名:
Chemometrics and Intelligent Laboratory Systems
(Chemometrics and Intelligent Laboratory Systems)
巻:
161
ページ:
43-48
発行年:
2017年
JST資料番号:
E0150B
ISSN:
0169-7439
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)