Abstract: To achieve high-precision prediction for mooring load data,based on wavelet analysis method and BP neutral network method,a forecast combination algorithm was proposed．Wavelet analysis method was used to make multi-scale decomposition and reconstruction calculations for original no-stationary mooring load series,and multi-layer steadier mooring load series was obtained．Then BP neutral network method was used to build no-stationary prediction models for each layer,and realize forecast calculation．Simulation results show that the combination algorithm attains high-precision forecast results．The combination algorithm has respectively excellent subdivision and self-learning ability．The combination algorithm can meet requirements of short-term early-warning of mooring load.

Key words: Mooring load,Multi-scale decomposition and reconstruction,BP neutral network,No-stationary time series forecasting