ELM-PSO-FCM based missing values imputation for byproduct gas flow data analysis
文献类型：会议论文
| 作者 | Sun XY(孙雪莹)1,2,3 ; Wang Z(王卓)1,2,3; Hu JT(胡静涛)1,2,3
|
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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