QQ客服 官方微博 反馈留言

	A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction
	Xu, Xinghan; Ren, Weijie
刊名	SYMMETRY-BASEL
	2019
卷号	11
关键词	chaotic time series prediction neural network firefly algorithm CEEMDAN VMD
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3216036
专题	大连理工大学
作者单位	1.Kyoto Univ, Dept Environm Engn, Kyoto 6158540, Japan. 2.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Xu, Xinghan,Ren, Weijie. A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction[J]. SYMMETRY-BASEL,2019,11.
APA	Xu, Xinghan,&Ren, Weijie.(2019).A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction.SYMMETRY-BASEL,11.
MLA	Xu, Xinghan,et al."A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction".SYMMETRY-BASEL 11(2019).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。