Prediction of wave spectrum using artificial neural network

Hindcasting of wave parameters is necessary for many applications in coastal and offshore engineering and is generally made with the help of sophisticated numerical models. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) is used to forecast the wave spectram in the southeastern part of Caspian Sea. To determine the effective parameters, different models with various combinations of input parameters were considered. By sensitivity analysis was found that wind speed, wave period were to be the best inputs. Furthermore, results also indicated that using the difference between wave and wind directions didn’t show better performance. Furthermore, Comparison between wave spectrum of ANN with ISSC and Neumann spectras showed that the ISSC spectrum with little deviation is more appropriate than Neumann spectrum. Finally, wave parameters was calculated by ISSC spectrum

کلیدواژه ها:

Wave spectrum ، Artificial Neural Network ، wave parameters ، Caspian sea