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| 基于混沌和二阶对角递归网络的船舶横摇的直接多步预测方法 | |
| 引用本文： | 李占英. 基于混沌和二阶对角递归网络的船舶横摇的直接多步预测方法[J]. 控制与决策, 2012, 27(7): 1057-1060 |
| 作者姓名： | 李占英 |
| 作者单位： | 1. 哈尔滨工程大学自动化学院,哈尔滨150001 大连理工大学城市学院电子与自动化学院,辽宁大连116600 2. 哈尔滨工程大学自动化学院,哈尔滨,150001 3. 大连理工大学城市学院电子与自动化学院,辽宁大连,116600 4. 大连中远船务工程有限公司船体车间,辽宁大连,116113 |
| 基金项目： | 国家自然科学基金项目(60975022);国家863计划项目(2008AA01Z148) |
| 摘 要： | 在对船舶横摇预测研究的基础上,提出一种基于混沌和在隐层具有2个反馈权值的二阶对角递归神经网络的直接多步预测模型;给出了易于实现的动量梯度学习算法,并对其收敛性进行了验证.仿真结果表明,直接多步预测不依赖于单步预测的结果,对比单步预测模型能快速、准确地预测船舶横摇运动时间序列,具有更好的预测精度及较长的预测时间. |
| 关 键 词： | 船舶横摇运动 对角递归神经网络 动量梯度学习算法 时间序列预测 混沌 |
| 收稿时间： | 2010-12-06 |
| 修稿时间： | 2011-04-01 |
Direct multi-step prediction approach of ship rolling based on chaotic and second order diagonal recurrent neural network |
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| LI Zhan-ying,WANG Ke-jun,ZHANG Ming-jun,XU Liang. Direct multi-step prediction approach of ship rolling based on chaotic and second order diagonal recurrent neural network[J]. Control and Decision, 2012, 27(7): 1057-1060 |
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| Authors: | LI Zhan-ying WANG Ke-jun ZHANG Ming-jun XU Liang |
| Affiliation: | 1.College of Automation,Harbin Engineering University,Harbin 150001,China;2.School of Electronic Engineering and Automation,City Institute of Dalian University of Technology,Dalian 116600,China;3.Cosco Dalian Shipyard Co Ltd,Hull Workshop,Dalian 116113,China.) |
| Abstract: | A direct multi-step prediction model based on chaotic and second order diagonal recurrent neural network with two recurrent weights in hidden layer is proposed.A generalized dynamic back-propagation(DBP) algorithm is applied to training,and the convergence of DBP is derived.Simulation results show that,direct multi-step prediction does not depend on the results of single-step prediction,and the proposed network can make a rapid and accurate prediction of the ship rolling time series,and provides more prediction accuracy and more prediction time by comparing to single-step prediction. |
| Keywords: | ship rolling motion diagonal recurrent neural network dynamic back-propagation time series prediction chaos |
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