Accuracy of singularity time surrogate models.
figure
posted on 2019-08-30, 17:32 authored by Joel A. Paulson, Marc Martin-Casas, Ali MesbahRMSE versus the number of model evaluations (i.e., size of the experimental design) used to train the PCE model for (a) the glucose singularity tg and (b) the xylose singularity tz. The RMSE was estimated empirically from a validation set of 10,000 full DFBA simulations.
History
Usage metrics
Categories
Keywords
DFBA model simulationsnetwork modelextracellular substrateDFBA modelFast uncertainty quantificationnon-smooth modelsDFBA model responseregression approachintracellular modeluncertainty propagationBayesian estimationflux balance analysiscouple intracellular fluxessingularity timeUQ761 metabolitesmodel responsesensitivity analysistime-varying naturensPCE surrogatesnon-smooth polynomial chaos expansionsnsPCE methodnon-smooth polynomial chaos expansionmodeling methoduncertainty quantificationDFBA modelsextracellular quantitiessubstrate uptake kineticsnetwork problem1075 reactionscoli monocultureproduct concentrationsposteriori estimationparameter spaceSeparate PCE models
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC