文献
J-GLOBAL ID:201902252504172079
整理番号:19A2424071
鉱物鉱床データの知的クラスタ化のための自動エンコーダに基づく次元縮小アルゴリズム【JST・京大機械翻訳】
An Autoencoder-Based Dimensionality Reduction Algorithm for Intelligent Clustering of Mineral Deposit Data
著者 (11件):
Li Yan
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
Li Yan
(Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China)
,
Li Yan
(Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China)
,
Luo Xiong
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
Luo Xiong
(Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China)
,
Luo Xiong
(Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China)
,
Chen Maojian
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
Chen Maojian
(Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China)
,
Chen Maojian
(Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China)
,
Zhu Yueqin
(Development and Research Center, China Geological Survey, Beijing, China)
,
Gao Yang
(China Information Technology Security Evaluation Center, Beijing, China)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
586
ページ:
408-415
発行年:
2020年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)