关键词: 花生四烯酸多模型建模仿射传播聚类FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-S

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.

Key words: 花生四烯酸多模型建模仿射传播聚类FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-S