Soft sensor modeling for key parameters of marine alkaline protease MP fermentation process
Yuanqing Liu, Ziyan Zhu, Xianglin Zhu · 2018
A soft sensor modeling method based on radial basis function (RBF) neural network is proposed to solve the problem that the key parameters are difficult to be measured in real time in marine alkaline protease MP fermentation process, such as enzyme activity, substrate concentration and cell concentration. The soft-sensing model of marine alkaline protease MP fermentation which based on RBF neural network was established by using the method of formula and coincidence degree to select auxiliary variables, data filtering and data normalization, K-means clustering method for network learning. And the computer simulation is carried out by using Matlab to verify the validity and accuracy of the soft measurement model..