Application of Wavelet Decomposition and Neural Network in Sea Wave Prediction
Guang Ye · Jisuanji fangzhen · 2006
A new method of the sea wave prediction is presented in this paper,which uses both the method of wavelet decomposition and the neural network model based on recursive square root.Because the trend of the motion of the sea wave could be obtained easily and the model for the sea wave prediction could be simplified when the method of wavelet is employed.Further more,the method using neural network model based on recursive square root methods can not only easily be carried out with rapid constringency,but also can improve the precision of the prediction with much less computing step.First in this paper the irregular sea waves are decomposed by multilevel 1-D wavelet to gain relative simple and regular period signals.Then the neural network model based on recursive square-root methods is used to predict the reconstructed signals.At last,the results of the prediction are composed.Finally,the results of the simulation experiments show that this method is effective.