Some experiments on identification of a fed-batch culture via differential neural networks

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Resumen

To identify Saccharomyces cereviseae fed-batch fermentation process, a Differential (Dynamic in Continuous Time) Neural Network (DNN) is suggested to be implemented. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.

Idioma originalInglés
Páginas152-156
Número de páginas5
EstadoPublicada - 2001
EventoProceedings of the 2001 IEEE International Conference on Control Applications CCA '01 - Mexico City, México
Duración: 5 sep. 20017 sep. 2001

Conferencia

ConferenciaProceedings of the 2001 IEEE International Conference on Control Applications CCA '01
País/TerritorioMéxico
CiudadMexico City
Período5/09/017/09/01

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