Abstract:The microbial fermentation process often involves various
biological
metabolic reactions and chemical processes. The mixed bacterial culture
process of 2-keto-l-gulonic acid has strong nonlinear and
time-varying characteristics. In this study, a probabilistic Bayesian
deep learning approach is proposed to obtain a highly accurate and
robust prediction of product formation. The Bayesian optimized deep
neural network (BODNN) is utilized as basic model for prediction,
the structural parameters of which are optimi… Show more
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