A Study on the Mathematic Model of Nox Emission in Coal-Fired Boiler with Opposed Combustion Pattern

摘要：

The perfect mathematic model is critical to reseaech the NOx emission charateristic. In this paper, a new statistical learning algorithm SVM(support vector machine) was used to establish the model, based on the mechanism analysis of the NOx emission characteristics, and grid optimization method was applied to determine the model parameters. The model was tested on a 660MVV power plant ,and the result indicated that SVM was a good tool for building NOx emission model and had better generalization ability and higher calculation speed comparing with BP modeling approaches.

关键词： gridoptimization Nox emission support vector machine (SVM)

作者: LIU BaoLing

作者单位: Department of Electrical And Electronics Engineering, Nanchang Institute of Technology, Nanchang,China

会议类型: 国际会议

会议名称: 2010 6th International Conference on MENS NANO,and Smart System(2010年微机电纳米、智能系统国际会议 ICMENS 2010)

会议地点: 长沙

会议语种:英文

页码: 244-247

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）