The tremendous increase in offshore operational activities demands improved wave forecasting techniques. With the knowledge of accurate wave conditions, it is possible to carry out the marine activities such as offshore drilling, naval operations, merchant vessel routing, nearshore construction, etc. more efficiently and safely. This paper describes an artificial neural network, namely recurrent neural network with update algorithm and is applied for wave forecasting. Measured ocean waves off Marmugao, west coast of India are used for this study. Here, the recurrent neural network of 3, 6 and 12 hourly wave forecasting yields the correlation coefficients of 0.95, 0.90 and 0.87, respectively. This shows that the wave forecasting using recurrent neural network yields better results than the previous neural network application.
Ocean wave forecasting using recurrent neural networks
Meereswellen-Vorhersage unter Verwendung rekursiver neuronaler Netze
Ocean Engineering ; 33 , 10 ; 1401-1410
2006
10 Seiten, 14 Quellen
Article (Journal)
English
System for forecasting aircraft engine deterioration using recurrent neural networks
European Patent Office | 2024
|SYSTEM FOR FORECASTING AIRCRAFT ENGINE DETERIORATION USING RECURRENT NEURAL NETWORKS
European Patent Office | 2020
|Real time wave forecasting using neural networks
Tema Archive | 1999
|Geomorphology-based Time-Lagged Recurrent Neural Networks for runoff forecasting
Springer Verlag | 2012
|Geomorphology-based Time-Lagged Recurrent Neural Networks for runoff forecasting
Online Contents | 2012
|