Data preprocessing for parameter estimation. An application to a reactive bimolecular transport model
Abstract
In this work we are concerned with the inverse problem of the estimation of modeling parameters for a reactive bimolecular transport based on experimental data that is non-uniformly distributed along the interval where the process takes place. We proposed a methodology that can help to determine the intervals where most of the data should be taken in order to obtain a good estimation of the parameters. For the purpose of reducing the cost of laboratory experiments, we propose to simulate data where is needed and it is not available, a PreProcesing Data Fitting (PPDF).We applied this strategy on the estimation of parameters for an advection-diffusion-reaction problem in a porous media. Each step is explained in detail and simulation results are shown and compared with previous ones.
Cite
@article{arxiv.1509.06799,
title = {Data preprocessing for parameter estimation. An application to a reactive bimolecular transport model},
author = {Daniel A. Cuch and Diana Rubio and Claudio D. El Hasi},
journal= {arXiv preprint arXiv:1509.06799},
year = {2015}
}
Comments
14 pages, 4 figures