@misc{wahle_neural_network_2009, 
author={Wahle, K., Guenther, H., Schiller, H.},
title={Neural network parameterisation of the mapping of wave spectra onto nonlinear four-wave interactions},
year={2009},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.ocemod.2009.06.001},
abstract = {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.},
note = {Online available at: \url{https://doi.org/10.1016/j.ocemod.2009.06.001} (DOI). Wahle, K.; Guenther, H.; Schiller, H.: Neural network parameterisation of the mapping of wave spectra onto nonlinear four-wave interactions. Ocean Modelling. 2009. vol. 30, no. 1, 48-55. DOI: 10.1016/j.ocemod.2009.06.001}}