基于神经网络的相空间重构参数确定方法

2009 International Workshop on Chaos-Fractals Theories and Applications Pub Date : 2009-11-06 DOI:10.1109/IWCFTA.2009.65

Runjie Liu, Z. Hou, Jinyuan Shen

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引用次数: 2

摘要

N个经典相空间重构，时间滞后相同。在我们的研究中，发现不同的时间滞后更有效地用于电信流量预测。本文提出了一种确定相空间重构中不同时延的方法。仿真结果表明，利用重构相空间中不同的时间滞后可以提高预测精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Method to Determine the Parameters of Phase Space Reconstruction Based on the Neural Network

n classic phase space reconstruction, the time lag is identical. In our research, the different time lags are found more effectively for teletraffic forecasting. In this paper, a method to determine the different time lags in phase space reconstruction is proposed. Simulation results show that the prediction is more accurate by using the different time lags in reconstruction phase space.

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来源期刊

2009 International Workshop on Chaos-Fractals Theories and Applications

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