Parameter Estimation Using Integral Equations
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
Parameter Estimation Using Integral Equations
Auteur(s) :
Lemaire, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Roussel, Louis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Roussel, Louis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la manifestation scientifique :
Maple Conference 2023
Ville :
Online Conference
Pays :
Canada
Date de début de la manifestation scientifique :
2023-10-26
Mot(s)-clé(s) en anglais :
Integro differential equations
Parameter estimation
Parameter estimation
Discipline(s) HAL :
Informatique [cs]
Informatique [cs]/Calcul formel [cs.SC]
Informatique [cs]/Calcul formel [cs.SC]
Résumé en anglais : [en]
Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, ...
Lire la suite >Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, it is possible to compute Input/Output (I/O) differential equations involving only the inputs (known quantity), the output (known measured quantity with noise) and the parameters. Those I/O equations can then be used to retrieve the values of the parameters from experimental curves.Instead of using differential equations, we consider integral equations. Indeed, in some examples, the introduction of integral equations increases the expressiveness of the models, improves the estimation of parameter values from error-prone measurements and reduces the size of the intermediate equations.Differential I/O equations can be automatically computed using differential elimination, with the DifferentialAlgebra in Maple. Integral I/O equations are more difficult to obtain. For the moment, we either integrate differential I/O equations (which sometimes require the computation of integrating factors) or perform an ad-hoc "integral" elimination.In my talk, I will first describe the computation of integral I/O equations using academic examples and present some partial results of the computation of integrating factors using deep learning. Then I will compare I/O equations of an academic example in terms of the quality of parameter estimation.Lire moins >
Lire la suite >Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, it is possible to compute Input/Output (I/O) differential equations involving only the inputs (known quantity), the output (known measured quantity with noise) and the parameters. Those I/O equations can then be used to retrieve the values of the parameters from experimental curves.Instead of using differential equations, we consider integral equations. Indeed, in some examples, the introduction of integral equations increases the expressiveness of the models, improves the estimation of parameter values from error-prone measurements and reduces the size of the intermediate equations.Differential I/O equations can be automatically computed using differential elimination, with the DifferentialAlgebra in Maple. Integral I/O equations are more difficult to obtain. For the moment, we either integrate differential I/O equations (which sometimes require the computation of integrating factors) or perform an ad-hoc "integral" elimination.In my talk, I will first describe the computation of integral I/O equations using academic examples and present some partial results of the computation of integrating factors using deep learning. Then I will compare I/O equations of an academic example in terms of the quality of parameter estimation.Lire moins >
Langue :
Anglais
Comité de lecture :
Non
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Collections :
Source :