Study of the ranges of values of a Biomimetic Statistical Learning Tool parameters
Résumé
We built a Biomimetic Statistical Learning T ool based on a P DE system, embarking the mathematical expression of biological determinants, in order to perform Data Fitting and Data Assimilation (See Flourent et al. (Submitted)). Before starting the tting of the parameters of a model, we have to specify for each parameter a lower and an upper values between which the optimization algorithm will search the value minimizing the error associated to the model. The goal of this working paper is to detail the study of the ranges of values of the parameters of the built Biomimetic Statistical Learning T ool.
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