QQ客服 官方微博 反馈留言

	A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers
	Zheng, Hanbo[1,2]; Zhang, Yiyi[1,6]; Liu, Jiefeng[1,3]; Wei, Hua[1]; Zhao, Junhui[4]; Liao, Ruijin[5]
	2018
卷号	155页码:196-205
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/3182244
专题	重庆大学
推荐引用方式 GB/T 7714	Zheng, Hanbo[1,2],Zhang, Yiyi[1,6],Liu, Jiefeng[1,3],et al. A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers[J],2018,155:196-205.
APA	Zheng, Hanbo[1,2],Zhang, Yiyi[1,6],Liu, Jiefeng[1,3],Wei, Hua[1],Zhao, Junhui[4],&Liao, Ruijin[5].(2018).A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers.,155,196-205.
MLA	Zheng, Hanbo[1,2],et al."A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers".155(2018):196-205.

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。