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Wu J.-X.,China Animal Husbandry Industry Co. | Wu J.-X.,ZhongMu Institute of China Animal Husbandry Group | Liu X.-J.,China Sports Lottery Technology Group | Qi P.,China Animal Husbandry Industry Co. | And 9 more authors.
Huaxue Gongcheng/Chemical Engineering (China) | Year: 2013

The principal component analysis (PCA) and fuzzy C-means (FCM) cluster were used in the optimization of flavomycin flask fermentation process. The data dimension of flavomycin flask fermentation was reduced by the principal component analysis, and non-critical control parameters were cut down. The critical control parameters became the new input of fuzzy C-means cluster, and then the range of critical control parameters was optimized by fuzzy C-means cluster. The combined algorithm based on principal component analysis and fuzzy C-means cluster reduced the range of control parameter of flavomycin flask fermentation. The experimental results indicate that this combined algorithm is effective in the optimization of fermentation process. Source

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