A combined prediction of irregular sea waves based on wavelet transform and wavelet neural network

作者：Li H^*; Guo C; Jin HZ

来源：Dynamics of Continuous Discrete and Impulsive Systems: Series B; Applications and Algorithms , 2005, 1: 166-170.

A Combined prediction approach of irregular sea waves based on wavelet transform and wavelet neural network (WNN) is proposed in the paper. By using wavelet transform, multilevel 1-D wavelet decompositions of irregular sea waves are completed to obtain relative simple and regular period signals, then the multiple-input single-output (MISO) WNN is employed as prediction model for the main decomposed signals above, finally, a prediction result is given through linear combination. The simulation experiments demonstrate the proposed method can effectively reduce the prediction difficulty and obtain better prediction precision. This method can also be used in ship roll, pitch and heave prediction.

• 出版日期2005
• 单位大连海事大学