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 original | Inglés |
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Páginas | 152-156 |
Número de páginas | 5 |
Estado | Publicada - 2001 |
Evento | Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01 - Mexico City, México Duración: 5 sep. 2001 → 7 sep. 2001 |
Conferencia
Conferencia | Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01 |
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País/Territorio | México |
Ciudad | Mexico City |
Período | 5/09/01 → 7/09/01 |