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Hybrid modeling of penicillin fermentation process based on least square support vector machine

机译:基于最小二乘支持向量机的青霉素发酵过程混合建模

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摘要

According to the problem of the pre-estimation with least square support vector machine (LSSVM) modeling is not ideal in the initial stages of penicillin fermentation process, two hybrid models are designed by utilizing the advantage of LSSVM and kinetics model. Through selecting the appropriate state variables and adopting these methods for penicillin fermentation, the mycelial concentration can be pre-estimated. Experiment results show that these hybrid modeling methods not only improve the above problem, but also have higher predicting accuracy and more powerful generalization ability than the single LSSVM method.
机译:针对最小二乘支持向量机(LSSVM)建模在青霉素发酵初期不理想的问题,利用LSSVM和动力学模型设计了两种混合模型。通过选择合适的状态变量并采用这些方法进行青霉素发酵,可以预先估计菌丝体浓度。实验结果表明,这些混合建模方法不仅改善了上述问题,而且比单个LSSVM方法具有更高的预测精度和更强大的泛化能力。

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