Original Paper

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

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.

Cite this article

ZHANG Wen-jun , LIU Zheng-jiang . Online ship motion prediction based on wavelet neural network[J]. Journal of Dalian Maritime University, 2013 , 39(2) : 25 -28 . DOI: 10.16411/j.cnki.issn1006-7736.2013.02.010

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