中南大学学报（自然科学版）2012，Vol.43Issue(10)：3906-3911,6.
柴油机SCR反应器性能FLS-SVM预测模型
FLS-SVM performance forecasting model of SCR reactor in diesel engine
摘要
Abstract
Due to the fuzzy speciality of structure parameters for SCR reactor of diesel engine, taking CFD simulation ' results for different diesel SCR reactor structural parameters at 380 ℃ as the training set, a new fuzzy least squares support vector machines model of prediction was established based on chaotic quantum-inspired genetic algorithm, in which the parameters of fuzzy least squares support vector machines was optimized by using chaos quantum genetic algorithm. The results show that the relative error of the prediction model is less than 3.0%, indicating that CFD simulation results and those of FLS-SVM prediction model have high accuracy and precision.关键词
混沌量子遗传算法/最小二乘支持向量机/柴油机/SCR反应器Key words
chaotic quantum-inspired genetic algorithm/least squares support vector machines/diesel/SCR reactor分类
能源科技引用本文复制引用
江彤,左青松,谢常清..柴油机SCR反应器性能FLS-SVM预测模型[J].中南大学学报（自然科学版）,2012,43(10):3906-3911,6.基金项目
国家高技术研究发展计划("863"计划)项目(2008AA11A116) （"863"计划）
湖南省教育厅科学研究项目(11C0699) （11C0699）
