交通运输工程

基于小波神经网络的船舶运动预报

  • 章文俊 ,
  • 刘正江
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  • 大连海事大学 航海学院,辽宁 大连116026
章文俊(1977 - ),男,博士生,副教授, E-mail:13898478670@163.com.

收稿日期: 2012-12-12

  网络出版日期: 2023-05-25

Online ship motion prediction based on wavelet neural network

  • ZHANG Wen-jun ,
  • LIU Zheng-jiang
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  • Navigation College, Dalian Maritime University, Dalian 116026, China

Received date: 2012-12-12

  Online published: 2023-05-25

摘要

利用残值学习算法进行小波节点的选择, 利用Akaike准则确定预测模型的结构, 采用误差反传方法在线调整网络连接参数. 通过建立的自适应神经网络模型有效辨识船舶操纵运动动态.船舶航向预报仿真结果显示,基于小波神经网络的船舶航向预测器可以较高精度预报船舶操纵运动过程中船舶航向的变化.

本文引用格式

章文俊 , 刘正江 . 基于小波神经网络的船舶运动预报[J]. 大连海事大学学报, 2013 , 39(2) : 25 -28 . DOI: 10.16411/j.cnki.issn1006-7736.2013.02.010

Abstract

The wavelet neural network makes use of residual based selection algorithm for wavelet units’ selection, and Akaike criterion is implemented to determine the structure of prediction model. The connecting parameters are online adjusted with back propagation method once the structure of WNN is determined. The proposed predictor is capable of on-line handling the nonlinear training data of ship motion. Ship course online prediction simulation examples illustrate the high accuracy of the wavelet network predictor.

参考文献

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