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基于最大李亚普诺夫指数的改进混沌时间序列预测的方法-Based on the maximum Lyapunov exponent of the improved chaotic time series prediction methods
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计算lyapunov指数的程序,以洛伦兹曲线为例，可用于非线性时间序列分析-Lyapunov index calculation process to the Lorenz curve, for example, can be used for nonlinear time series analysis
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计算混沌时间序列中的伪临近点，为进一步分析混沌时间序列的K熵，lyapunov指数做数据处理。-Calculate the pseudo-chaotic time series near the point, further analysis of chaotic time series for the K-entropy, lyapunov index to do data processing.
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时间序列数据分析中的梅林变换工具，数据包传送源码程序，wolf 方法计算李雅普诺夫指数。- Time series data analysis Mellin transform tool, Data packet transfer source program, wolf calculated Lyapunov exponent.
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