改进型Elman神经网络发酵过程建模研究

摘要

According to the characteristics of fermentation process and the dynamic modeling theory of modified Elman neural network,a new batch training algorithm for fermentation process modeling is proposed.The training and testing of fermentation process simulation experiments show that modified Elman neural network modeling algorithm has specialties that convergence speed is faster and generalization is better,compared with traditional BP modeling algorithm.Furthermore,the software based on the modeling algorithm can be embedded into fermentation process control system,realizes fermentation process online modeling and state parameter online estimating.%依据发酵过程的机理和改进的Elman神经网络动态建模原理,提出了一个新的发酵过程建模分批训练算法.通过发酵过程仿真实验,与传统的BP建模算法比较,改进的Elman神经网络建模算法具有收敛速度快、泛化能力强等特点.此外,利用该算法编制的软件可以内嵌到发酵过程监控系统中,实现发酵过程在线建模与状态参量的在线预估.