Neuronal Network for Simulation of an Inverse Model

Abstract

Inverse modeling of the inuence of CASE II water properties on the radiances measured by CZCS is known to give good results. As inverse modeling is quite a heavy computational load we are interested in methods which make feasible the inverse modeling operationally.