Introduction
Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home > paper >
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NOx Emission Prediction Algorithm of Power Station Boiler Based on Improved Distributed Extreme Learning Machine
DOI:
10.16355/j.cnki.issn1007-9432tyut.2017.06.012
Received:
Accepted:
| Corresponding author | Institute | |
| XU Xinying | College of Information and Engineering,Taiyuan University of Technology; |
abstract:
An improved distributed extreme learning machine was proposed to model the NOxemission characteristics of power station boiler.The introduction of distributed type and ridge regression theory improved the generalization performance and prediction accuracy of the limit learning algorithm.An improved MapReduce programming framework was adopted to carry out the parallelization of the the proposed algorithm so as to enhance its ability of dealing with massive data.The real operation data provided by a 660 MW power station boiler was analyzed and tested on Hadoop cluster.Results show that the proposed model has a better fitting and predictive ability for NOxemission,and the proposed algorithm has excellent parallel performance. |
Keywords:
XU Chenchen;XU Xinying;YAN Gaowei;HAN Xiaoxia;College of Information and Engineering,Taiyuan University of Technology;