TY - GEN
T1 - Indirect training of grey-box models
T2 - application to a bioprocess
AU - Cruz, Francisco
AU - Acuña, Gonzalo
AU - Cubillos, Francisco
AU - Moreno, Vicente
AU - Bassi, Danilo
PY - 2007
Y1 - 2007
N2 - Grey-box neural models mix differential equations, which act as white boxes, and neural networks, used as black boxes. The purpose of the present work is to show the training of a grey-box model by means of indirect backpropagation and Levenberg-Marquardt in Matlab®, extending the black box neural model in order to fit the discretized equations of the phenomenological model. The obtained grey-box model is tested as an estimator of a state variable of a biotechnological batch fermentation process on solid substrate, with good results.
AB - Grey-box neural models mix differential equations, which act as white boxes, and neural networks, used as black boxes. The purpose of the present work is to show the training of a grey-box model by means of indirect backpropagation and Levenberg-Marquardt in Matlab®, extending the black box neural model in order to fit the discretized equations of the phenomenological model. The obtained grey-box model is tested as an estimator of a state variable of a biotechnological batch fermentation process on solid substrate, with good results.
UR - https://www.scopus.com/pages/publications/37249009204
U2 - 10.1007/978-3-540-72393-6_47
DO - 10.1007/978-3-540-72393-6_47
M3 - Conference contribution
AN - SCOPUS:37249009204
SN - 9783540723929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 391
EP - 397
BT - Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PB - Springer Verlag
ER -