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

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.Ise 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-SV.M model.

关键词： NOx emissions thermal power plant support vector machine genetic algorithm

作者: Jianguo Zhou Huaitao Liang

作者单位: School of Business and Administration North China Electric Power UniversityBaoding,China School of Business and Administration North China Electric Power University Baoding,China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 651-654

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）