应用粒子群算法快速拟合原煤可选性曲线  

Rapid fitting of raw coal washability curve by using PSO

作　　者：齐振鹏[1] 匡亚莉[1] 王章国[1] 

机构地区：[1]中国矿业大学化工学院,江苏徐州221116

出　　处：《选煤技术》2012年第1期57-59,63,共4页Coal Preparation Technology

摘　　要：阐述了原煤可选性曲线的重要性,介绍了几种目前常用的可选性曲线绘制方法,并且应用粒子群算法进行了可选性曲线的拟合,拟合实例表明,粒子群算法拟合的曲线非常光滑,拟合效果非常好。In this paper the importance of raw coal washability curve has been methods for drawing raw coal washability curve have also been introduced. The Optimization （PSO） has been used to fit the curve of raw coal washability. The the curve of raw coal washability fitting by PSO is quite smooth and the fitting defined and some normal method of Particle Swarm fitting examples show that effect is greatly good.

关 键 词：可选性曲线 绘制方法 拟合 粒子群算法 拟合实例 

分 类 号：TD94[矿业工程—选矿]