结合相空间重构理论确定网络结构，使网络能够包含有效的预测信息。
The structure of the network is defined by integrating the theory of reconstructing phase space, which makes the efficient prediction information be contained in the network.
提出了一种基于混沌相空间重构理论的优化近邻点局部线性化跳频预测方法。
Based on the theory of chaos phase space reconstruction, a local linear forecasting approach on selecting the optimal neighbor points is presented in this paper.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
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