Forecasting of ocean wave heights, with warning time of a few hours or days, is necessary in planning many operation-related activities in the ocean. Such information is currently derived by numerically solving the differential equation representing wave energy balance. The solution procedure involved is extremly complex and calls for verv large amounts of meteorological and oceanographic data. This paper presents a complementary and simple method to make a point forecast of waves in real time sense based on the current observation of waves at a site. It incorporates the technique of neural networks. The network involved is first trained by different algorithms and then used to forecast waves with lead times varying from 3 to 24 h. The results of different training algorithms are compared with each other. The neural output is further compared with the statistical AR models.
Real time wave forecasting using neural networks
Ocean Engineering ; 26 , 3 ; 191-203
1999
13 Seiten, 8 Bilder, 4 Tabellen, 17 Quellen
Article (Journal)
English
Ocean wave forecasting using recurrent neural networks
Tema Archive | 2006
|Spectral Basis Neural Networks for Real-Time Travel Time Forecasting
British Library Online Contents | 1999
|Real-time wave forecasting using genetic programming
Tema Archive | 2008
|Wave Forecasting in Near Real Time Basis by Neural Network
British Library Conference Proceedings | 2001
|TECHNICAL PAPERS - Spectral Basis Neural Networks for Real-Time Travel Time Forecasting
Online Contents | 1999
|