The Prediction of Pulverized Coal Ignition Property Based on Piecewise Least Squares Support Vector Machine

被引：0
|
作者：
Chang Aiying [1 ]
Wu Tiejun [1 ]
Xin Bao [1 ]
机构：
[1] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6 | 2010年
关键词：
subsection model; least squares support vector machine; blending coal; igniting temperature; SPECTROSCOPY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Aimed at the quantitative analysis of pulverized coal ignition temperature, this paper presents a piecewise least squares support vector machine modeling method, where several sub-models are created according to the burning characteristics of lignite, bituminous coal, lean coal and anthracite coal etc. and the parameters of each sub-model are optimized independently. By implementing the piecewise LSSVM and the global LSSVM on coal fuel samples obtained from certain company, we find that the piecewise LSSVM behaves better than the global LSSVM on mean- square error and correlation coefficient, etc.
引用
收藏
页码：251 / 254
页数：4
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