摘要
针对微生物发酵过程中菌体细胞浓度难以实时在线检测的问题,从生物细胞代谢角度分析了发酵过程中生物代谢参数的相关性,找出了能够表示生物变量大小的代谢参数,然后将这些参数作为输入变量,建立了菌体细胞浓度软测量的R B F神经网络模型,为复杂系统中生物量参数的检测提供了一条有效途径。仿真结果表明,该软测量方法具有较高的精度,能很好地应用于生物发酵过程。
In the light of that the on line detection of cell concentration in microbe-fermentation process is difficult to accomplish, Analysis the parameters correlation in fermentation process and found out the parameters that can express the magnitude of biomass in fermentation process, then with these parameters as importing variables, a soft-sensing model of cell concenwation based on RBF（Radial Basis Function） neural network is built up. It can solve the problem of on-line biomass parameter estimation in the complicated system. The simulating results demonstrate that the estimation accuracy is well, and will be useful in microbe-fermentation process.
出处
《自动化与仪器仪表》
2012年第2期178-179,181,共3页
Automation & Instrumentation
关键词
RBF网络
软测量
模型
菌体浓度
RBF neural network
soft-sensing
model
cell concentration
