  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.
