Prediction of Mooring Load Based on Wavelet Neutral Network
Zheng Jia · Jisuanji fangzhen · 2013
Research the accurate prediction of ship mooring load. Ship mooring load has strong randomness and complexity,and is a non-stationary time series. The paper put forward a mooring load prediction method based on wavelet neutral network. The model combines the characteristic of wavelet analysis with the advantage of neutral network. The wavelet basis function has been used as the transfer function of neural network's hidden layer nodes. Then the wavelet neutral network forecasting model was built up to realize the forecasting calculation of mooring load data.The simulation results show that the wavelet neutral network algorithm attains high-precision forecast results. It can meet requirements of short-term early-warning of mooring load.