文献
J-GLOBAL ID:201702260896134347
整理番号:17A0754611
革新的1クラス最小二乗連続認知に基づくベクトルマシンモデルを支持する【Powered by NICT】
An innovative one-class least squares support vector machine model based on continuous cognition
著者 (6件):
Huang Guangzao
(Department of Automation, Xiamen University, Xiamen 361005, Fujian, China)
,
Huang Guangzao
(School of Information Technology, York University, Toronto M3J 1P3, Canada)
,
Yang Zijiang
(School of Information Technology, York University, Toronto M3J 1P3, Canada)
,
Chen Xiaojing
(College of Physics and Electronic Engineering Information, Wenzhou University, Wenzhou 325035, Zhejiang, China)
,
Ji Guoli
(Department of Automation, Xiamen University, Xiamen 361005, Fujian, China)
,
Ji Guoli
(Innovation Center for Cell Signaling Network, Xiamen University, Xiamen 361005, Fujian, China)
資料名:
Knowledge-Based Systems
(Knowledge-Based Systems)
巻:
123
ページ:
217-228
発行年:
2017年
JST資料番号:
T0426A
ISSN:
0950-7051
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)