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Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine
Joint Authors
Sun, Xueying
Wang, Zhuo
Hu, Jing-tao
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Prediction of byproduct gas flow is of great significance to gas system scheduling in iron and steel plants.
To quantify the associated prediction uncertainty, a two-step approach based on optimized twin extreme learning machine (ELM) is proposed to construct prediction intervals (PIs).
In the first step, the connection weights of the twin ELM are pretrained using a pair of symmetric weighted objective functions.
In the second step, output weights of the twin ELM are further optimized by particle swarm optimization (PSO).
The objective function is designed to comprehensively evaluate PIs based on their coverage probability, width, and deviation.
The capability of the proposed method is validated using four benchmark datasets and two real-world byproduct gas datasets.
The results demonstrate that the proposed approach constructs higher quality prediction intervals than the other three conventional methods.
American Psychological Association (APA)
Sun, Xueying& Wang, Zhuo& Hu, Jing-tao. 2017. Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1190629
Modern Language Association (MLA)
Sun, Xueying…[et al.]. Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1190629
American Medical Association (AMA)
Sun, Xueying& Wang, Zhuo& Hu, Jing-tao. Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1190629
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190629