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- W2356263790 abstract "Based on the definiteness and nonlinear mechanism of the production of chaotic series, the reconstruction of delayed coordination for chaotic-dynamic systems in phase-space and the model of the second-order volterra self-adaptation filtering, also based on the short-term predictability of chaotic time series and the adaptive tracking chaotic trajectory of adaptive algorithm, this paper proposes a multi-step prediction method of chaotic time series using volterra series. This method resolves the problem of adjusting filter's parameters of the adaptive prediction method during multi-step prediction. During multi-step prediction this method can get the multi-step prediction value using the known data. The experimental results show that this method is available for predicting chaotic time series by multi-step, and the effect is good." @default.
- W2356263790 created "2016-06-24" @default.
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- W2356263790 date "2008-01-01" @default.
- W2356263790 modified "2023-09-26" @default.
- W2356263790 title "Research on Multi-Step Prediction of Chaotic Time Series using Volterra Series" @default.
- W2356263790 hasPublicationYear "2008" @default.
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