QQ客服 官方微博 反馈留言

	A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches
	Wang Jun; Luo Yuyan; Tang Lingyu; Ge Peng
刊名	KNOWLEDGE-BASED SYSTEMS
	2018
卷号	Vol.160页码:188-199
关键词	Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) Empirical mode decomposition (EMD) Nonlinear autoregressive with exogenous inputs (NARX) neural network Weight function
ISSN号	0950-7051
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1837478
专题	四川大学
作者单位	1.Sichuan Univ, Business Sch, Chengdu 610065, Sichuan, Peoples R China 2.Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Sichuan, Peoples R China 3.Chengdu Univ Technol, Postdoctorate R 4.Sichuan Normal Univ, Business Sch, Chengdu 610101, Sichuan, Peoples R China 5.Sichuan Normal Univ, Math Sch, Chengdu 610101, Sichuan, Peoples R China 6.Base Management Sci & Engn, Chengdu 610059, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Wang Jun,Luo Yuyan,Tang Lingyu,et al. A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches[J]. KNOWLEDGE-BASED SYSTEMS,2018,Vol.160:188-199.
APA	Wang Jun,Luo Yuyan,Tang Lingyu,&Ge Peng.(2018).A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches.KNOWLEDGE-BASED SYSTEMS,Vol.160,188-199.
MLA	Wang Jun,et al."A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches".KNOWLEDGE-BASED SYSTEMS Vol.160(2018):188-199.

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。