Calibration of a Fluid-Structure Problem with Keras
Numerical Analysis
2019-09-10 v1 Numerical Analysis
Classical Physics
Computational Physics
Abstract
In this short paper we report on an inverse problem issued from a physical system, namely a fluid structure problem where the parameters are the rigidity constant, the solid-fluid density ratio and the fluid viscosity. We have chosen a simple geometry so that the numerical solution of the system is easy. We compare the solution of this inverse problem by a Neural Network with a more classical solution obtained with a genetic algorithm. The Neural Network does much better.
Cite
@article{arxiv.1909.03708,
title = {Calibration of a Fluid-Structure Problem with Keras},
author = {Olivier Pironneau},
journal= {arXiv preprint arXiv:1909.03708},
year = {2019}
}