%0 Journal Article
%T Soft sensor study of effluent COD based on mutant CPSO and LSSVM
基于变异CPSO算法的LSSVM出水COD的软测量研究
%A Xu Lisha
%A Qian Xiaoshan
%A
徐丽莎
%A 钱晓山
%J 环境工程学报
%D 2012
%I
%X On the basis of analyzing chaotic particle swarm optimization(CPSO) and least square support vector machine(SVM) theory,for oxidation ditch system in a wastewater treatment plant,applying the chaotic PSO algorithm with last out mechanism to optimize the parameters of SVM,a mutant CPSO-LSSVM soft sensor model was used to predict effluent COD of oxidation ditch system.Then compared with PSO-LSSVM and LSSVM model,the study showed that the ICPSO-LSSVM model was featured with more accuracy and better generalization ability and performance,and the samples with prediction relative error less than 10% were up to 90%,the maximal relative error was only 12.5%,and the MSE was 0.0106.Moreover,the model has high accuracy.It can be used to realizes the estimation online for effluent COD basically.
%K mutant CPSO
%K LSSVM
%K wastewater treatment
%K COD
%K soft sensor
变异混沌粒子群算法
%K 最小二乘支持向量机
%K 污水处理
%K 化学耗氧量
%K 软测量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=92E6F4267FD4CBCB51B1E49E014D8054&jid=3567BD61129AA59043F5DE01F8815DB5&aid=8F3528AF98F227DA8AE182CD0FA6A03E&yid=99E9153A83D4CB11&vid=B31275AF3241DB2D&iid=94C357A881DFC066&sid=0049ED447A3A3206&eid=E34F1AE8B0BD0598&journal_id=1673-9108&journal_name=环境工程学报&referenced_num=0&reference_num=0