Combining Support Vector Regression and Ant Colony Optimization to Reduce NOx Emissions in Coal-Fired Utility Boilers-Reference-Cited by-同舟云学术

Combining Support Vector Regression and Ant Colony Optimization to Reduce NOx Emissions in Coal-Fired Utility Boilers

Published:2008-02-20 Issue:2 Volume:22 Page:1034-1040
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Zheng Ligang¹,Zhou Hao¹,Wang Chunlin¹,Cen Kefa¹

Affiliation:

1. State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, People’s Republic of China, and School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, People’s Republic of China

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef700451v

Reference37 articles.

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5. Combining neural network and genetic algorithms to optimize low NOx pulverized coal combustion

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