Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation

CORC > 兰州大学 > 兰州大学 > 数学与统计学院 > 期刊论文

	Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation
	Jiang, H; Dong, Y; Wang, JZ; Li, YQ
刊名	ENERGY CONVERSION AND MANAGEMENT
	2015-05-01
卷号	95 页码:42-58
关键词	Global solar radiation forecasting RBF neural network Hard-ridge penalty Cuckoo search algorithm Differential evolution
ISSN号	0196-8904
通讯作者	Dong, Y (reprint author), Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China.
学科主题	Thermodynamics; Energy & Fuels; Mechanics; Physics
出版地	OXFORD
语种	英语
WOS记录号	WOS:000352169300005
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/145808]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Jiang, H,Dong, Y,Wang, JZ,et al. Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation[J]. ENERGY CONVERSION AND MANAGEMENT,2015,95:42-58.
APA	Jiang, H,Dong, Y,Wang, JZ,&Li, YQ.(2015).Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation.ENERGY CONVERSION AND MANAGEMENT,95,42-58.
MLA	Jiang, H,et al."Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation".ENERGY CONVERSION AND MANAGEMENT 95(2015):42-58.