Extreme short term prediction of ship swaying motions based on combination of chaos and neural network
Feng Cai · Ship Science and Technology · 2008
Ship swaying motion can be predicted by the chaos theory due to its chaotic characteristic. So,the prediction principle of chaotic time series is introduced in this paper. The RBF neural network is presented based on phase-space reconstruction of chaos theory and is used to ship swaying motions' prediction. Prediction results on a ship's pitch time series show that the method based on combination of chaos and neural network can improve the prediction precision and extend the prediction term.