A BP neural network time delay prediction method based on phase space reconstruction

W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li
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Abstract

In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.
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基于相空间重构的BP神经网络时延预测方法
提出了一种基于相空间重构的神经网络时延预测方法。该方法通过相空间重构,按照内律在相空间重构一维混沌时间序列,并利用BP神经网络算法预测时延。仿真实验表明,该方法具有良好的预测性能。
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