Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial

Mathematical models are fundamental tools to predict the behaviour of dynamical processes arising in different disciplines. To warranty a reliable numerical simulated data we need to choose a model that reflects the dynamics together with suitable parameter values. In this work we study the paramete...

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Guardado en:
Detalles Bibliográficos
Publicado: 2013
Materias:
Bacterial growth
Dynamical process
Fundamental tools
Measured values
Numerical simulated
Optimal design
Parameter estimation problems
Parameter values
Biomedical engineering
Mathematical models
Parameter estimation
Computer simulation
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16800737_v33IFMBE_n_p947_Saintier
http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p947_Saintier
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_16800737_v33IFMBE_n_p947_Saintier
record_format dspace
spelling paper:paper_16800737_v33IFMBE_n_p947_Saintier2023-06-08T16:26:38Z Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial Bacterial growth Dynamical process Fundamental tools Measured values Numerical simulated Optimal design Parameter estimation problems Parameter values Biomedical engineering Mathematical models Parameter estimation Computer simulation Mathematical models are fundamental tools to predict the behaviour of dynamical processes arising in different disciplines. To warranty a reliable numerical simulated data we need to choose a model that reflects the dynamics together with suitable parameter values. In this work we study the parameter estimation problem for the Baranyi model for bacterial growth. We apply an optimal design technique to a set of measured values of the Salmonellae growth available in the literature. © 2013 Springer. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16800737_v33IFMBE_n_p947_Saintier http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p947_Saintier
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bacterial growth
Dynamical process
Fundamental tools
Measured values
Numerical simulated
Optimal design
Parameter estimation problems
Parameter values
Biomedical engineering
Mathematical models
Parameter estimation
Computer simulation
spellingShingle Bacterial growth
Dynamical process
Fundamental tools
Measured values
Numerical simulated
Optimal design
Parameter estimation problems
Parameter values
Biomedical engineering
Mathematical models
Parameter estimation
Computer simulation
Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
topic_facet Bacterial growth
Dynamical process
Fundamental tools
Measured values
Numerical simulated
Optimal design
Parameter estimation problems
Parameter values
Biomedical engineering
Mathematical models
Parameter estimation
Computer simulation
description Mathematical models are fundamental tools to predict the behaviour of dynamical processes arising in different disciplines. To warranty a reliable numerical simulated data we need to choose a model that reflects the dynamics together with suitable parameter values. In this work we study the parameter estimation problem for the Baranyi model for bacterial growth. We apply an optimal design technique to a set of measured values of the Salmonellae growth available in the literature. © 2013 Springer.
title Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
title_short Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
title_full Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
title_fullStr Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
title_full_unstemmed Diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
title_sort diseño óptimo para estimar los parámetros de un modelo de crecimiento bacterial
publishDate 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16800737_v33IFMBE_n_p947_Saintier
http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p947_Saintier
_version_ 1768544931709714432

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