基于RBF神经网络的青霉素发酵过程的模型辨识

来源期刊：中南大学学报(自然科学版)2003年第4期

论文作者：陈仕学 于乃功 阮晓钢

文章页码：342 - 344

关键词：青霉素;发酵; RBF神经网络;遗传算法

Key words：penicillin; fermentation; RBF neural networks; genetic algorithm

摘    要：分析了目前青霉素发酵过程中存在的问题.基于RBF神经网络的辨识方法,建立了青霉素发酵过程模型.以动力学模型为基础产生教师数据,采用遗传算法对网络进行训练,建立了基于RBF神经网络的发酵过程模型,并进行了仿真实验验证.实验结果表明,该辨识模型对青霉素补料分批培养过程具有实用价值.

Abstract: A new way of model building for identification based on RBF neural networks in the penicillin fermentation process was presented .The penicillin fermentation process is a process of time varying and nonlinear feature .RBF neural networks have the ability to get a nonlinear function. Genetic algorithms were used to train the neural networks .A simulation was made to prove this fermentation model . The result of the simulation shows that the model is practicable.