| 基于支持向量机和遗传算法的燃煤电站锅炉多目标燃烧优化 |
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| 引用本文： | 安恩科,宋尧,杨霞.基于支持向量机和遗传算法的燃煤电站锅炉多目标燃烧优化[J].节能,2008,27(10). |
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| 作者姓名： | 安恩科 宋尧 杨霞 |
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| 作者单位： | 同济大学,热能与环境工程研究所,上海,200092 |
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| 摘 要： | 采用支持向量机方法建立350MW燃煤电站锅炉NOx预测模型和锅炉效率预测模型,并采用遗传算法对NOx和锅炉效率进行多目标优化,表明支持向量机和遗传算法可以用于指导参数调节,进行燃烧优化。
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| 关 键 词： | NOx 支持向量机 遗传算法 燃烧优化 |
Prediction of N(O)x from coal-fired utility boilers based on support vector machine and combustion optimization |
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| AN En-ke,SONG Yao,YANG Xia.Prediction of N(O)x from coal-fired utility boilers based on support vector machine and combustion optimization[J].Energy Conservation,2008,27(10). |
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| Authors: | AN En-ke SONG Yao YANG Xia |
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| Abstract: | A Support Vector Machine(SVM) model was employed for forecasting nitrogen oxides(NOx) and efficency for a 350 MW coal-burning utility boiler,it optimized it indicates that SVM could be employed to combustion optimization. |
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| Keywords: | NOx |
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