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- W2356330171 abstract "For the multi-step-prediction of chaotic time series,a modeling method based on maximized the mutual information(MMI) is proposed.Firstly,maximize information model in phase space with delay time,embedding dimension and prediction step is established.Then this model can be solved by using generation algorithm(GA),which determines the better prediction structure of chaotic time series.Finally,simulations of the Mackey-Glass system and monthly sunspot show that MMI can determine the better prediction structure and improve the prediction accuracy of chaotic time series." @default.
- W2356330171 created "2016-06-24" @default.
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- W2356330171 date "2012-01-01" @default.
- W2356330171 modified "2023-09-24" @default.
- W2356330171 title "Multi-step-prediction of chaotic time series based on maximized mutual information" @default.
- W2356330171 hasPublicationYear "2012" @default.
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