Prediction of the NOx Emissions from Thermal Power Plant Based on Support Vector Machine Optimized by Genetic Algorithm

被引：1

作者：

Zhou, Jianguo ^{[1
]}

Liang, Huaitao ^{[1
]}

机构：

[1] N China Elect Power Univ, Sch Business & Adm, Baoding, Peoples R China

来源：

2010 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND FINANCIAL ENGINEERING (ICIFE) | 2010年

关键词：

NOx emissions; thermal power plant; support vector machine; genetic algorithm;

D O I：

10.1109/ICIFE.2010.5609441

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the development of thermal power industry, statistics on the NOx emissions become important. In this paper, based on the traditional support vector machine model, we establish support vector machine model optimized by genetic algorithm, improve the prediction accuracy of SVM model. Use the NOx emissions data from 1995 to 2009, predict the NOx emissions from thermal power plant in the year of 2010, and verify the reasonableness of the GA-SVM model.

引用

页码：651 / 654

页数：4

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