Title :
Using neural network for parameterization of nonlinear interactions in wind wave models
Author :
Krasnopolsky, Vladimir ; Chalikov, Dmitry V. ; Tolman, Hendrik L.
Author_Institution :
NCEP, NOAA, Camp Springs, MD, USA
Abstract :
A new neural network (NN) application, a cheap yet accurate approximation for the nonlinear wave-wave interaction term in wind-wave numerical models, has been developed. This NN approximation is 5 orders of magnitude faster than exact calculations. It provides twice better accuracy and is only roughly 3 times slower than approximation used before for calculations of this term in wind-wave models
Keywords :
approximation theory; geophysics computing; neural nets; oceanographic techniques; interaction approximation; neural network; nonlinear wave interaction; numerical models; ocean wind-wave model; parameterization; Equations; Frequency; Intelligent networks; Multilayer perceptrons; Neural networks; Neurons; Numerical models; Oceans; Predictive models; Wind forecasting;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939570
