文献
J-GLOBAL ID:202102272037142451
整理番号:21A3309300
フラクタル理論と組み合わせた正則化極端学習機械による不規則ペレット画像の特徴認識【JST・京大機械翻訳】
Feature recognition of irregular pellet images by regularized Extreme Learning Machine in combination with fractal theory
著者 (10件):
Liu Weixing
(Modern Metallurgical Technique Key Laboratory of Ministry of Education, North China University of Science and Technology, Tangshan, 063000, China)
,
Yan Shaohong
(Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Tangshan, 063000, China)
,
Chen Tailong
(The College of Science, North China University of Science and Technology, Tangshan, 063000, China)
,
Cheng Jiaqing
(The College of Science, North China University of Science and Technology, Tangshan, 063000, China)
,
Wang Ke
(The College of Science, North China University of Science and Technology, Tangshan, 063000, China)
,
Song Jintao
(The College of Science, North China University of Science and Technology, Tangshan, 063000, China)
,
Yang Aimin
(The College of Science, North China University of Science and Technology, Tangshan, 063000, China)
,
Li Jie
(Modern Metallurgical Technique Key Laboratory of Ministry of Education, North China University of Science and Technology, Tangshan, 063000, China)
,
Xing Hongwei
(Modern Metallurgical Technique Key Laboratory of Ministry of Education, North China University of Science and Technology, Tangshan, 063000, China)
,
Zhang Yuzhu
(Modern Metallurgical Technique Key Laboratory of Ministry of Education, North China University of Science and Technology, Tangshan, 063000, China)
資料名:
Future Generation Computer Systems
(Future Generation Computer Systems)
巻:
127
ページ:
92-108
発行年:
2022年
JST資料番号:
A0620C
ISSN:
0167-739X
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)