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[1]韦红旗,牛中敏,江文豪,等. 自适应遗传优化的最小二乘支持向量回归机在煤粉着火温度建模中的应用[J].燃烧科学与技术,2011,(03):191-195.
 WEI Hong-qi,NIU Zhong-min,JIANG Wen-hao,et al. Application of LSSVR Optimized by Adaptive Genetic Algorithm atModeling Igniting Temperature of Pulverized-Coal[J].Journal of Combustion Science and Technology,2011,(03):191-195.
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 自适应遗传优化的最小二乘支持向量回归机在
煤粉着火温度建模中的应用
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《燃烧科学与技术》[ISSN:1006-8740/CN:12-1240/TK]

卷:
期数:
2011年03期
页码:
191-195
栏目:
出版日期:
2011-06-15

文章信息/Info

Title:
 Application of LSSVR Optimized by Adaptive Genetic Algorithm at
Modeling Igniting Temperature of Pulverized-Coal
作者:
 韦红旗1牛中敏2江文豪1叶亚兰
 1. 东南大学能源与环境学院,南京 210096;2. 河南省电力勘测设计院,郑州 450007
Author(s):
 WEI Hong-qi1NIU Zhong-min2JIANG Wen-hao1YE Ya-lan1
 1.School of Energy and Environment,Southeast University,Nanjing 210096,China;
2.Henan Electric Power Survey and Design Institute,Zhengzhou 450007,China
关键词:
 最小二乘支持向量回归机自适应遗传算法煤粉着火温度预测
Keywords:
 least square support vector regressionadaptive genetic algorithmpulverized-coaligniting temperatureforecasting
文献标志码:
A
摘要:
 针对煤粉着火温度与煤质指标间的非线性关系,提出了基于自适应遗传算法和最小二乘支持向量回归机的
煤粉着火温度预测模型.通过对实验数据进行预测评判,并与常规的最小二乘支持向量回归机模型和BP 神经网络
模型相比较,以验证此模型的可靠性和精确性.结果表明,该模型是合理可行的,该模型比传统计算模型具有更好
的泛化能力,能更准确地预测煤粉着火温度.采用该模型对输入变量的权重进行分析,得到的结果与机理分析一
致,为解决此类问题提供了新途径.
Abstract:
 In order to investigate the nonlinear relationship between igniting temperature and characteristic indexes of
pulverized-coal,a model based on adaptive genetic algorithm and least square support vector regression(AGALSSVR)
was proposed. The comparison between the output of AGA-LSSVR model and the experimental data shows
satisfactory agreement. Compared with LSSVR and back propagation neural network(BP-NN),AGA-LSSVR can
achieve better accuracy and reliability. It is indicated that the proposed model can more accurately calculate the igniting
temperature of pulverized-coal. Based on AGA-LSSVR,the weights of input variables were analyzed,and the
results were in agreement with those of the mechanism analysis. The proposed model provides a novel approach to
solving such issues.

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备注/Memo

备注/Memo:
 作者简介:韦红旗(1966— ),男,硕士,副教授.
通讯作者:韦红旗,weihongqi@vip.sina.com.
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