FILTREX: A new software for parametric identification and optimal sampling of experiments for complex microbiological dynamic systems by nonlinear filtering
VILA, Jean-Pierre
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
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Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
VILA, Jean-Pierre
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
< Reduce
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Language
en
Communication dans un congrès
This item was published in
2011-09-12, Dublin. 2011
English Abstract
At the 6th ICPMF Gauchi et al. (2009) considered the issue of the identification of complex microbiological dynamic systems and the possibility offered by particle nonlinear filtering to tackle this problem. As the ...Read more >
At the 6th ICPMF Gauchi et al. (2009) considered the issue of the identification of complex microbiological dynamic systems and the possibility offered by particle nonlinear filtering to tackle this problem. As the computations involved in this identification approach are rather sophisticated, it is crucial for microbiologists to have access to a user-friendly software for managing them. We present in this 7th ICPMF the FILTREX software, based on Matlab language (Bidot et al., 2009) for reaching several objectives in the predictive microbiology context.Read less <
Keywords
bayes factors
microbiology
INFORMATIQUE
particules filtrage non linéaire
facteurs de Bayes
séquentiels plans optimaux
modélisation prédictive
English Keywords
FILTREX Software
particle nonlinear filtering
sequential optimal designs
predictive modeling
Origin
Hal imported