Ship Rolling Motion Prediction Based on Wavelet Neural Network

摘要：

　　The traditional time series predictive models are not able to achieve a satisfying prediction effect in the problem of a non-linear system and nonstationary time series.To solve these problems, ship course time series prediction, which is based on back propagation wavelet neural network structure and algorithm, was proposed.It combined wavelet analysis and neural network characteristics, and employed the nonlinear Morlet wavelet radices as the activation function.This method was applied to ship rolling motion prediction, and simulation results showed the validity to improving the prediction accuracy.

关键词： Ship Rolling Motion Real-time Prediction Wavelet Neural Network BP Neural Network

作者: Wang Yuchao Liu Fanming Fu Huixuan

作者单位: College of Automation,Harbin Engineering University,Harbin 150001,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 724-728

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）