2004 | OriginalPaper | Buchkapitel
A Novel Fermentation Control Method Based on Neural Networks
verfasst von : Xuhua Yang, Zonghai Sun, Youxian Sun
Erschienen in: Advances in Neural Networks - ISNN 2004
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper proposes a novel fermentation control method. Two stages are involved. First, propose the fermentation time model and the optimal fermentation temperature model based on RBF Neural networks. Second, on the base of the two models, propose the novel fermentation control method by which different fermentation batch can adopt different optimal fermentation temperature trajectory which fits itself. Using this method, each fermentation batch can be fermented at optimal fermentation temperature trajectory and will improve average product proportion. The practical application showed that this method can improve average product proportion 3% effectively.