On-line Estimation of Bed Water Content and Temperature in a SSC Bioreactor Using a Modular Neural Network Model

摘要

A modular neural network model is developed in order to give on line estimations of bed water content and temperature in a SSC bioreactor. This grey box, predictive model gives accurate results for previous experiments carried out in the case of Gibberella fujikuroi SSC, and could be used for bioreactors on line monitoring.