Modelling Fed-Batch Fermentation Processes:An Approach Based on Artificial NeuralNetworks

摘要

Artificial Neural Networks (ANNs) have shown to be powerful tools forsolving several problems which, due to their complexity, are extremely difficult to un-ravel with other methods. Their capabilities of massive parallel processing and learningfrom the environment make these structures ideal for prediction of nonlinear events. Inthis work, a set of computational tools are proposed, allowing researchers in Biotech-nology to use ANNs for the modelling of fed-batch fermentation processes. The maintask is to predict the values of kinetics parameters from the values of a set of state vari-ables. The tools were validated with two case studies, showing the main functionalitiesof the application.