Abstract

Artificial Neural Networks have been used for a wide variety of chemical applications because of their ability to learn system features.This paper presents the use of BP neural networks for soft senor of the cell concentration.For microbial concentration in fermentation process of the problem of real-time online detection,from the perspective of biological cell metabolism in the process of fermentation were analyzed by the correlation of metabolic parameters,then these parameters as the input variables, established the cell concentration BP neural network model of soft senor for biomass parameters detection in complex system.The simulation results show that the soft senor method has highly accuracy and can well applied in the biological fermentation process.

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