| Abstract: | Considering the imprecision of mechanism model and the weak generalization of single model,a support vector machines(SVM)multi-model modeling algorithm based on affinity propagation clustering is presented for arachidonic acid(ARA)fermentation process.Firstly,ARA training samples are clustered into several classes by affinity propagation clustering algorithm.Then,the sub-models are trained by SVM according to corresponding sub-class samples.The testing samples are firstly assigned to appropriate sub-classes by similarity measurement,and then the predicted outputs are estimated by corresponding sub-models.The modeling experiments of ARA process indicate that,compared with the mechanism model and other single models,the proposed algorithm has superior regression accuracy and good generalization ability. |
