| 基于Elman神经网络的动力配煤发热量及着火温度的预测 |
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| 引用本文： | 周孑民,朱再兴,刘艳军,彭好义,高强.基于Elman神经网络的动力配煤发热量及着火温度的预测[J].中南大学学报(自然科学版),2011,42(12). |
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| 作者姓名： | 周孑民 朱再兴 刘艳军 彭好义 高强 |
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| 作者单位： | 中南大学能源科学与工程学院,湖南长沙,410083 |
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| 基金项目： | 国家自然科学基金资助项目(50876116) |
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| 摘 要： | 针对采用实验法测定电厂动力配煤的发热量和着火温度存在操作繁琐和信息滞后较大等不足,建立Elman神经网络预测模型.该网络模型在学习过程中确定混煤的发热量和着火温度与单煤的水分、灰分、挥发分之间的非线性映射关系.模型利用单煤的水分、灰分和挥发分含量直接预测混煤的发热量和着火温度,预测结果误差较小.利用置信区间分析法对预测模型的预测效果进行检验.研究结果表明:预测模型具有较高的可靠性和置信度.
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| 关 键 词： | Elman神经网络 动力配煤 发热量 着火温度 预测模型 |
Predication of calorific value and ignition temperature of blended coal based on Elman neural network |
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| ZHOU Jie-min
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ZHU Zai-xing
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LIU Yan-jun
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PENG Hao-yi
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GAO Qiang.Predication of calorific value and ignition temperature of blended coal based on Elman neural network[J].Journal of Central South University:Science and Technology,2011,42(12). |
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| Authors: | ZHOU Jie-min ZHU Zai-xing LIU Yan-jun PENG Hao-yi GAO Qiang |
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| Institution: | ZHOU Jie-min,ZHU Zai-xing,LIU Yan-jun,PENG Hao-yi,GAO Qiang (School of Energy Science and Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | In order to overcome the disadvantages of tedious operation and serious information lag in testing calorific value and ignition temperature of blended coal in laboratory,the Elman neural network prediction model was established.In the learning process of the neural network,the nonlinear mapping relationships between calorific value and ignition temperature of blended coal and moisture content,ash,volatile matter of single coal were determined.The calorific value and ignition temperature of blended coal were... |
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| Keywords: | Elman neural network blended coal calorific value ignition temperature predication model |
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