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。
Under the hypothesis of empty of noise, utilizing technology of phase-space reconstruction to empirically study the chaos and fractal feature of China stock market.
在股价时序数据不存在噪音的假设前提下,利用相空间重构技术对中国股票市场的混沌与分形特征进行实证研究。
Under the hypothesis of empty of noise, utilizing technology of phase-space reconstruction to empirically study the chaos and fractal feature of China stock market.
在股价时序数据不存在噪音的假设前提下,利用相空间重构技术对中国股票市场的混沌与分形特征进行实证研究。
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