ELM-PSO-FCM based missing values imputation for byproduct gas flow data analysis

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	ELM-PSO-FCM based missing values imputation for byproduct gas flow data analysis
	Sun XY(孙雪莹)1,2,3; Wang Z(王卓)1,2,3; Hu JT(胡静涛)1,2,3
	2019
会议日期	March 15-17, 2019
会议地点	Chengdu, China
关键词	Missing data Imputation Fuzzy c-means PSO Extreme learning machine
页码	56-59
英文摘要	Byproduct gas flow data analysis is necessary for scheduling optimization in iron and steel enterprises. However, missing values are inevitable for reasons like sensor fault and data transmission error. Our work focused on data loss problem and proposed a robust method for missing data imputation. Fuzzy c-means (FCM) was employed as the basic principle in our work. In order to improve the robustness of FCM, three strategies were introduced to the approach. Linear interpolation was first adopted to enhance the accuracy of convergence. Parameters of FCM were also optimized by means of Particle Swarm optimization (PSO). Furthermore, Extreme Learning Machine (ELM) was used to improve the generalization performance of the data imputation model. To fully evaluate the proposed method, several experiments were elaborated and the results proved the superior characteristics.
源文献作者	Chengdu Global Union Academy of Science and Technology ; Chongqing Geeks Education Technology Co., Ltd ; Chongqing Global Union Academy of Science and Technology ; Global Union Academy of Science and Technology ; IEEE Beijing Section
产权排序	1
会议录	Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-5386-6243-4
WOS记录号	WOS:000491352900012
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/25234]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Sun XY(孙雪莹)
作者单位	1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Sun XY,Wang Z,Hu JT. ELM-PSO-FCM based missing values imputation for byproduct gas flow data analysis[C]. 见:. Chengdu, China. March 15-17, 2019.