THE PREDICTION OF SIGNIFICANT WAVE HEIGHT BY USING NEURAL NETWORKS IN PERSIAN GULF COASTS

As the sea wave is a key factor in the design of marine structures an accurate estimation of the wave characteristics is of particular importance. For this reason analytical and numerical modelsare applied to describe the wave parameters. Since the analytical methods is containing complicated mathematical equations and non linear terms in some cases the accurate solution of this equation is difficult. So some simplifying is performed to solve the equations. Sometimesthe numerical model is employed that requires high computational grid number and memory volume which would be time consuming. In order to overcome to this problem the statistical and empirical method is used which is based upon the past observing data[1]. In recent decades thetechnique of artificial neural network (ANN) had been developed and proved that have high capability in the estimation of sea wave parameters

کلیدواژه ها:

Prediction ، Significant Wave Height ، Neural Network ، Persian Gulf