文献
J-GLOBAL ID:201302269190987438
整理番号:13A0152655
重力探索アルゴリズムに基づくオンライン最小二乗サポートベクトルマシンを用いたタービンの発熱率の予測
Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm
著者 (8件):
ZHANG Weiping
(Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004, CHN)
,
ZHANG Weiping
(Qinhuangdao Inst. of Technol., Qinhuangdao 066100, CHN)
,
NIU Peifeng
(Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004, CHN)
,
NIU Peifeng
(National Engineering Res. Center for Equipment and Technol. of Cold Strip Rolling, Qinhuangdao 066004, CHN)
,
LI Guoqiang
(Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004, CHN)
,
LI Guoqiang
(National Engineering Res. Center for Equipment and Technol. of Cold Strip Rolling, Qinhuangdao 066004, CHN)
,
LI Pengfei
(Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004, CHN)
,
LI Pengfei
(National Engineering Res. Center for Equipment and Technol. of Cold Strip Rolling, Qinhuangdao 066004, CHN)
資料名:
Knowledge-Based Systems
(Knowledge-Based Systems)
巻:
39
ページ:
34-44
発行年:
2013年02月
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)