基于CMAC神经网络的舰船运动预报仿真研究

舰船运动是引发多种海面事故的主要原因,为了提高舰载机着舰安全系数、提高舰船战斗力、减少海难等事故的发生,舰船运动极短期预报是至关重要的.首次将CMAC神经网络应用于舰船纵摇运动姿态的极短期预报中,建立了CMAC神经网络舰船运动预报模型.同时对实际的舰船纵摇运动数据进行了数值仿真,证实了CMAC神经网络模型在舰船运动预报中的应用是合理且可行的.

Simulation Study of Ship Motion Prediction Based on CMAC Neural Network

Ship motion is the main reason of a variety of sea accidents.In order to increase the carrier-based aircraft landing safety factor,improve the combat effectiveness of ships and reduce the occurrence of maritime accidents,the short-term prediction of ship motion is essential.Cerebellar Model Articulation Controller(CMAC) is applied in the short-term prediction for ship motion prediction for the first time in this paper.A real-time CMAC prediction model is established,at the same time,it has been done the numerical simulation and Confirmed the CMAC neural network model in the apphcation of ship motion prediction is reasonable and feasible.