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Research on optimize prediction model and algorithm about chaotic time series

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Wuhan University Journal of Natural Sciences

Abstract

We put forward a chaotic estimating model, by using the parameter of the chaotic system, sensitivity of the parameter to inching and control the disturbance of the system, and estimated the parameter of the model by using the best update option. In the end, we forecast the intending series value in its mutually space. The example shows that it can increase the precision in the estimated process by selecting the best model steps. It not only conquer the abuse of using detention inlay technology alone, but also decrease blindness of using forecast error to decide the input model directly, and the result of it is better than the method of statistics and other series means.

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Correspondence to Jiang Wei-jin.

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Foundation item: Supported by the National Natural Science Foundation of China (60373062)

Biography: JIANG Wei-jin (1964-), male, Professor, research direction: intelligent compute and the theory methods of distributed data processing in complex system, and the theory of software.

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Wei-jin, J., Yu-sheng, X. Research on optimize prediction model and algorithm about chaotic time series. Wuhan Univ. J. Nat. Sci. 9, 735–739 (2004). https://doi.org/10.1007/BF02831672

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  • DOI: https://doi.org/10.1007/BF02831672

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