CAJ | 학술논문

利用支持向量机（ SVM）建立锅炉NOx 排放模型，采用自由搜索（ FS）算法对支持向量机模型参数进行优化并对模型输入参数进行寻优。结果表明，FS-SVM模型能够较好地预测NOx 排放，且模型精度较高。通过优化输入参数，NOx 排放量有明显地降低，优化后的参数变化情况与有关文献中实验所得的结果一致。
이용지지향량궤（ SVM）건립과로NOx 배방모형，채용자유수색（ FS）산법대지지향량궤모형삼수진행우화병대모형수입삼수진행심우。결과표명，FS-SVM모형능구교호지예측NOx 배방，차모형정도교고。통과우화수입삼수，NOx 배방량유명현지강저，우화후적삼수변화정황여유관문헌중실험소득적결과일치。
A mOdeI Of the bOiIers NOx emissiOns is deveIOped by suppOrt vectOr machine( SVM). The free search ( FS)aIgOrithm is used tO Optimize the parameters Of the SVM mOdeI and the input parameters Of the bOiIers. The mOdeIing resuIts shOw that,FS-SVM mOdeI can predict NOx emissiOns very weII,the fOrecast accuracy is very high. NOx emissiOns are significantIy reduced by Optimizing the input parameters,and the change Of the Optimized parameters are cOnsistent with the experimentaI resuIts Of the reIated reference.