摘要：The paper proposes a prediction methodology for the significant wave height (and implicitly the
wave power), based on the artificial neural networks. The proposed approach takes as input data the wind
speed values recorded for different time periods. The prediction of significant wave height is useful both for
assessment of wave energy as also for marine equipment design and navigation. The data used cover the time
interval 1999 to 2007 and it was measured on Gloria drilling unit, which operates in the Romanian nearshore of
the Black Sea at about 500 meters depth.
其他摘要：The paper proposes a prediction methodology for the significant wave height (and implicitly the wave power), based on the artificial neural networks. The proposed approach takes as input data the wind speed values recorded for different time periods. The prediction of significant wave height is useful both for assessment of wave energy as also for marine equipment design and navigation. The data used cover the time interval 1999 to 2007 and it was measured on Gloria drilling unit, which operates in the Romanian nearshore of the Black Sea at about 500 meters depth.
