%0 journal article
%@ 1463-5003
%A Wahle, K., Guenther, H., Schiller, H.

%D 2009
%J Ocean Modelling
%N 1
%P 48-55 
%R doi:10.1016/j.ocemod.2009.06.001
%T Neural network parameterisation of the mapping of wave spectra onto nonlinear four-wave interactions
%U https://doi.org/10.1016/j.ocemod.2009.06.001
1 
%X A new approach to parameterise the exact nonlinear interaction source (Snl) term for wind wave spectra is presented. Discrete wave spectra are directly mapped onto the corresponding Snl-terms using a neural net (NN). The NN was trained with modelled wave spectra varying from single mode spectra to highly complex ones. The specification of training data was based on a classification of the wave spectra by cluster analysis. In course of the structuring of the NN the intrinsic dimensionality of the spectra was estimated with an auto-associative neural net (AANN). The AANN might be used for a scope check of the method.