青霉素发酵过程的粒子群模糊神经网络软测量

针对青霉素发酵过程中的基质浓度、菌体浓度、产物浓度等关键生物参数难以在线实时测量的问题,提出了一种基于粒子群模糊神经网络的软测量建模方法.采用模糊径向基函数-神经网络(RBF-NN)构建青霉素发酵的软测量模型,同时,结合改进粒子群优化训练算法(PSO),建立了青霉素反应过程的软测量模型,并对发酵工艺进行了仿真试验研究.仿真试验结果表明,所建立的软测量模型测量精度高、效果好,能够满足工程实际的要求.

Soft-sensing Based on Particle Swarm Fuzzy Neural Network for Penicillin Fermentation Process

Normally,it is difficult to realize realtime and online measurement of the critical biological parameters for penicillin fermentation process,such as the concentrations of the matrix,biomass,and products.Aiming at this problem,the soft-sensing method based on particle swarm fuzzy neural network is proposed.The soft-sensing model of penicillin fermentation is established by using fuzzy radial basis function neural network(RBF-NN),and combining with the improved particle swarm optimization(PSO) training algor...