贝叶斯网络在泰乐菌素发酵过程中的应用

目的]为发酵过程的动态调控提供依据。方法]以泰乐菌素发酵过程的各发酵条件参数为特征向量,研究利用贝叶斯方法来预测发酵过程终产量的准确度。结果]通过用泰乐菌素发酵数据学习出的贝叶斯网络能较好地指导发酵过程中的工艺条件,取得了较好的预测效果。利用学习的贝叶斯网络能对发酵产物产量进行有效预测,对发酵过程有很好的指导意义。结论]贝叶斯网络在微生物发酵生产中具有良好的预测性能,具有很好的实用价值和应用前景。

Application of Bayesian Network in Tylosin Fermentation

Objective] To provide a reference for dynamic regulation of fermentation process.Method] Using conditions for tylosin fermentation as feature vectors,final yield during the fermentation process was predicted using Bayesian method.Result] The Bayesian network which learned data of tylosin fermentation could better guide conditions of fermentation process,and better prediction results were achieved.The yield of fermentation products could be effectively predicted using the obtained Bayesian network and could well guide fermentation process.Conclusion] Bayesian network has good predictive performance for microbial fermentation and has good practical value and application prospect.