Prediction of Ship Roll based on Combination of Phase Space Reconstruction Theory and Improved Elman Network

摘要：

Aiming to the chaotic nature of ship swaying motion,a new prediction approach for ship rolling motion has been proposed.This approach is based on combination of phase space reconstruction theory and improved Elman network.According to the phase space reconstructed theory,the method and the selecting of the key parameters in the modeling is discussed.Then the ship rolling data is first reconstructed,as the input of improved Elman neural network to predict.Simulation results demonstrate the method proposed in this paper has better predicted precision than only using Elman neural network.

关键词： ship swaying motion Elman network time series prediction phase space reconstruction

作者: Zhanying Li Kejun Wang Mingjun Zhang

作者单位: College of Automation Harbin Engineering University Harbin,Hei Longjiang,China School of Electronic Engineering and Automation City institute,Dalian university of technology Dalia

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 577-580

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）