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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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基于神经网络的燃煤锅炉nox排放预测及优化
, PP. 112-115
Keywords: 燃煤锅炉,nox排放,预测,神经网络,遗传算法
Abstract:
应用matlab神经网络工具箱对某燃煤电站锅炉nox排放特性进行神经网络建模。仿真结果表明,该模型具有良好的准确性和泛化能力,模型平均相对误差为1.37%,具有较高的准确性。基于该nox排放预测模型,结合遗传算法对燃煤锅炉的nox排放进行优化,按照优化结果推荐的运行参数,在相同的运行负荷工况下,其nox排放浓度由优化前的456.2mg/m3降为323.9mg/m3,下降幅度达到了29%,效果显著。
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