文献
J-GLOBAL ID:202202220808570332
整理番号:22A0886796
SG-CIMモデルに基づく類似性融合ニューラルネットワークの自動設計法【JST・京大機械翻訳】
An Automatic Design Method of Similarity Fusion Neural Network Based on SG-CIM Model
著者 (8件):
Liao Xiaoqi
(Big Data Center of State Grid Corporation of China, Beijing, China)
,
Ge Xinliang
(Big Data Center of State Grid Corporation of China, Beijing, China)
,
Li Yufei
(Big Data Center of State Grid Corporation of China, Beijing, China)
,
Hu Wenhui
(National Engineering Research Center for Software Engineering, Peking University, Beijing, China)
,
He Xin
(Beijing China-Power Information Technology Co., Ltd., Beijing, China)
,
Gao Shijie
(Beijing China-Power Information Technology Co., Ltd., Beijing, China)
,
Chen Xiaoming
(Beijing China-Power Information Technology Co., Ltd., Beijing, China)
,
Liu Xueyang
(National Engineering Research Center for Software Engineering, Peking University, Beijing, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
13202
ページ:
352-363
発行年:
2022年
JST資料番号:
H0078D
ISSN:
0302-9743
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)