摘要
以大量的煤质化验数据为基础,采用基于差分进化算法的支持向量机方法建立了利用工业分析计算元素分析的预测模型。结果表明,与其他模型相比,该模型具有更高的预测精度,且适用于更宽的煤质范围。
Based on large quantity of laboratory coal quality data,a support vector machine model optimized by differential evolution was put forward to predict ultimate analysis data of coal from its proximate analysis data.Compared with the existing models,this model has higher prediction precision,and is suitable for wider coal range.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2010年第10期1721-1724,共4页
Journal of China Coal Society
关键词
煤质
工业分析
元素分析
支持向量机
差分进化算法
coal quality
proximate analysis
ultimate analysis
support vector machine
differential evolution
