| 锅炉飞灰含碳量预测研究 |
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| 引用本文： | 王继宝,白佑强. 锅炉飞灰含碳量预测研究[J]. 河北建筑工程学院学报, 2010, 28(3) |
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| 作者姓名： | 王继宝 白佑强 |
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| 作者单位： | 张家口市高级技工学校;怀来县住建局 |
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| 摘 要： | 将BP神经网络技术引入工业锅炉飞灰含碳量预测领域,建立了预测模型.针对BP神经网络所存在的缺陷,结合差异演化算法(DE),提出了实数编码的DE-BP神经网络预测模型.实验表明,模型能够很好的满足飞灰含碳量预测要求.
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| 关 键 词： | 锅炉 飞灰含碳量 神经网络 差异演化算法 |
On the Prediction of Unburned Carbon Content in the Fly Ash from Coal-Fired Boilers |
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| Wang Jibao,Bai Youqiang. On the Prediction of Unburned Carbon Content in the Fly Ash from Coal-Fired Boilers[J]. Journal of Hebei Institute of Architectural Engineering, 2010, 28(3) |
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| Authors: | Wang Jibao Bai Youqiang |
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| Affiliation: | 1.Zhangjiakou Senior Technical School; 2.Huailai Residential Construction Bureau; |
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| Abstract: | Artificial neural network was introduced into the prediction of unburned carbon of the fly ash from boilers.Aiming at the drawback in classical BP artificial networks and combining with differential evolution algorithms,this paper puts forward the prediction model based on real number coded DE-BP artificial networks.The result of typical calculation examples shows that the model is better than BP network,GA-BP network,and the model is effective. |
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| Keywords: | boiler unburned carbon content neural network Differential Evolution（DE） |
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