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Received:April 26, 2017 Revised:May 19, 2017
Received:April 26, 2017 Revised:May 19, 2017
中文摘要: 针对循环流化床锅炉控制系统的烟气SO2对象的非线性特点，本文建立了一种基于支持向量机的烟气SO2排放量预测模型. 由于直接网格搜索确定支持向量机回归模型参数的方法计算量大、搜索时间长，本文采用单变量参数搜索结合网格寻优的方法来确定模型参数. 仿真结果表明，基于支持向量机方法建立的循环流化床锅炉烟气SO2排放量预测模型具有良好的预测效果.
Abstract:In consideration of the nonlinearity of SO2 in circulating fluidized bed boiler, a prediction model of SO2 emissions in flue gas based on support vector machine is proposed. It is complex to directly search the parameters of support vector machine regression, so a method combining single variable search and grid search is applied. The simulation shows that the prediction model of SO2 emissions in circulating fluidized bed boiler based on support vector machine has good prediction performance.
keywords: SO2 support vector machine grid search prediction model
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薛美盛,王旭,冀若阳.基于支持向量机的烟气二氧化硫排放量预测模型.计算机系统应用,2018,27(2):186-191
XUE Mei-Sheng,WANG Xu,JI Ruo-Yang.Prediction Model of SO2 Emissions in Flue Gas Based on Support Vector Machine.COMPUTER SYSTEMS APPLICATIONS,2018,27(2):186-191
薛美盛,王旭,冀若阳.基于支持向量机的烟气二氧化硫排放量预测模型.计算机系统应用,2018,27(2):186-191
XUE Mei-Sheng,WANG Xu,JI Ruo-Yang.Prediction Model of SO2 Emissions in Flue Gas Based on Support Vector Machine.COMPUTER SYSTEMS APPLICATIONS,2018,27(2):186-191
