基于支持向量机的烟气二氧化硫排放量预测模型  

Prediction Model of SO_2 Emissions in Flue Gas Based on Support Vector Machine

作　　者：薛美盛[1] 王旭 冀若阳 

机构地区：[1]中国科学技术大学自动化系,合肥230026

出　　处：《计算机系统应用》2018年第2期186-191,共6页Computer Systems & Applications

摘　　要：针对循环流化床锅炉控制系统的烟气SO_2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SO_2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SO_2排放量预测模型具有良好的预测效果.In consideration of the nonlinearity of SO_2 in circulating fluidized bed boiler, a prediction model of SO_2 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 SO_2 emissions in circulating fluidized bed boiler based on support vector machine has good prediction performance.

关 键 词：二氧化硫 支持向量机 网格寻优 预测模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]