Hybrid neural network model of an alcoholic fermentation process / Modelagem hibrido neuronal de um processo de fermentação alcoolica

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

The use of ethanol as a fuel has many advantages; it has economically competed with gasoline and others fuels, substituting them in various uses. Thus, there is a great interest in optimizing all the steps of ethanol production. Only a detailed knowledge of the process dynamics can lead to optimal operation and this can be achieved through simulation using an accurate model. Many phenomenological models were developed considering industrial fermentations, but they are only valid for specific conditions. Changes occur frequently in an industrial unity and frequent reestimation of model parameters is usually expensive and time consuming. The objective of this work is to develop a hybrid neural model for the alcoholic fermentation process using mass balances combined with Functional Link Neural Networks. A scheme to update network weights always that it does not describe plant behavior accurately is implemented. The developed model is used to describe an industrial process substituting the existing phenomenological models, since they have been able to describe the process only for short periods

ASSUNTO(S)

hybrid model mathematical models biotechnology adaptive model computer simulation simulação (computadores) functional link networks fermentação alcohol fermentation process modelos matematicos biotecnologia redes neurais (computação) alcool

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