文献
J-GLOBAL ID:201702247113346613
整理番号:17A1651149
LS-SVRに基づくカオス的時系列のマルチパラメータ適応予測【Powered by NICT】
Multi-parameter Adaptive Prediction of Chaotic Time series based on LS-SVR
著者 (5件):
Guo Yangming
(School of Computer Science and Engineering, Reliability and Maintenance Research Laboratory, Northwestern Polytechnical University (NWPU), Xi’an, Shaanxi, China)
,
Zhi Qiang
(School of Computer Science and Engineering, Reliability and Maintenance Research Laboratory, Northwestern Polytechnical University (NWPU), Xi’an, Shaanxi, China)
,
Wang Xing
(School of Computer Science and Engineering, Reliability and Maintenance Research Laboratory, Northwestern Polytechnical University (NWPU), Xi’an, Shaanxi, China)
,
Ma Jiezhong
(School of Computer Science and Engineering, Reliability and Maintenance Research Laboratory, Northwestern Polytechnical University (NWPU), Xi’an, Shaanxi, China)
,
Zhu Peican
(School of Computer Science and Engineering, Reliability and Maintenance Research Laboratory, Centre for Multidisciplinary Convergence Computing, NWPU, Xi’an, Shanxi, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
PHM (Harbin)
ページ:
1-5
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)