NOx Prediction Method Based on Deep Extreme Learning Machine

被引：3
|
作者：
Li, Ying [1 ]
Li, Fanjun [2 ]
机构：
[1] Qilu Univ Technol, Sch Sci, Jinan, Shandong, Peoples R China
[2] Jinan Univ, Sch Math Sci, Jinan, Shandong, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA) | 2018年
关键词：
NOx; prediction; deep learning; extreme learning machine; data-driven; EMISSIONS;
D O I：
10.1109/ICCIA.2018.00025
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Real-time prediction of NOx is important for the control of NOx emission from a coal-fired power plant. This paper presents a NOx prediction method based on deep extreme learning machine. First, an improved deep extreme learning machine is proposed. Then, a NOx prediction model is designed based on the proposed method. Finally, the model is evaluated by using the actual data. Simulations results show that the proposed method is effective.
引用
收藏
页码：97 / 101
页数：5
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