Chaos optimization is used to search all local optimal points of the entropy function in once searching, which can improve the efficiency of searching threshold.
并利用混沌优化的方法一次寻找出图像熵的多个极值点，提高了阈值寻找的效率。
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.
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。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
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