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- W2585405970 abstract "A new prediction approach is proposed for the chaos characteristic of ship rolling motion. The proposed approach is based on combination of phase space reconstruction theory and improved Elman network. With the help of the phase space reconstructed theory, the prediction mechanism and the selecting of key parameters can be discussed and obtained. Then the ship rolling data is used as the input sample of improved Elman neural network and further reconstruct network. Simulation results demonstrate the proposed method has better performance of prediction accuracy than only using Elman neural network." @default.
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- W2585405970 date "2016-08-01" @default.
- W2585405970 modified "2023-09-24" @default.
- W2585405970 title "Prediction of ship roll motion based on combination of phase space reconstruction theory and Elman network" @default.
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- W2585405970 doi "https://doi.org/10.1109/icinfa.2016.7831907" @default.
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