新疆伊犁地区煤发热量的非线性回归分析研究  

Nonlinear Regression Analysis and Research of Xinjiang Yili Area Coal Calorific Value

作　　者：王江荣[1] 赵振学[1] 文晖[1] 罗资琴[1] 

机构地区：[1]兰州石化职业技术学院,兰州730060

出　　处：《煤炭技术》2015年第2期291-293,共3页Coal Technology

基　　金：甘肃省科技厅项目(1204GKCA004);甘肃省财政厅专项资金立项资助(甘财教[2013]116号)

摘　　要：煤炭发热量与煤的水分、灰分、挥发分等影响因素之间存在着非线性关系,提出了一种简单、预测能强的非线性初等模型。利用粒子群算法对模型系数进行了优化,并用统计学原理对建模样本残差的均值和方差进行了分析,分析结果表明用该模型对煤炭发热量预测完全可行。There is a non-linear relationship between the moisture,ash content,volatile content and influence factors of calorific value of coal,puts forward a simple,strong nonlinear prediction to the elementary model. The model coefficients are optimized by particle swarm algorithm,and analyzes the mean and variance of the modeling sample residuals with statistics principle,the analysis results show that using this model to forecast the calorific value of coal is completely feasible.

关 键 词：煤炭发热量 粒子群算法 统计分析 预测 

分 类 号：TQ533.4[化学工程—煤化学工程]