文献
J-GLOBAL ID:201802226656876580
整理番号:18A0289574
裸bones PSO(粒子群最適化)に基づく特徴最適化を用いたインテリジェント白血病診断【Powered by NICT】
Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization
著者 (5件):
Srisukkham Worawut
(Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, Newcastle, NE1 8ST, UK)
,
Zhang Li
(Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, Newcastle, NE1 8ST, UK)
,
Neoh Siew Chin
(Faculty of Engineering, Technology and Built Environment, UCSI University, Malaysia)
,
Todryk Stephen
(Department of Applied Sciences, Faculty of Health and Life Sciences, University of Northumbria, Newcastle, NE1 8ST, UK)
,
Lim Chee Peng
(Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC 3216, Australia)
資料名:
Applied Soft Computing
(Applied Soft Computing)
巻:
56
ページ:
405-419
発行年:
2017年
JST資料番号:
W2175A
ISSN:
1568-4946
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)