RBF Neural Network-based Ship Nonlinear Roll Motion Modelling and Prediction

摘要：

This paper aims to model and predict the ship nonlinear roll motion based on RBF neural network. The ship nonlinear motion is firstly analyzed in the irregular waves. Then through MATLAB software.the relevant data is calculated for RBF neural network as training data and test data, thus establishing the ship nonlinear roll motion model and predicting the ship roll motion. Finally, the simulation results show the modelling and prediction accuracy can meet the precision requirements.

关键词： nonlinear roll motion RBF neural network modelling prediction

作者: Lili Tao Xiafii Peng Jianli Li

作者单位: Automation Department, Xiamen University Xiamen,China

会议类型: 国际会议

会议名称: 2011 International Conference on Communication and Electronics Information(ICCEI 2011)(2011年通信和电子信息国际会议)

会议地点: 海口

会议语种:英文

页码: 282-284

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）