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几种常见混沌时间序列matlab实现
1)chua flow
2)duffing flow
3)Rossler flow
4)Lorenz flow
5)ikeda flow
6)Mackey_Glass flow
7)logistic map
8)henon map
9)Quadratic map(二次图)
也欢迎大家提供更多的混沌方程或映射的经典matlab实现。
-several common chaotic time series to
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假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序
文件夹说明：
Main_FNN.m - 程序主函数，直接运行此文件即可
LorenzData.dll - 产生Lorenz时间序列
PhaSpaRecon.m - 相空间重构
fnn_luzhenbo.dll - 假近邻计算主函数
SearchNN.dll - 近邻点搜索
buffer_SearchNN_1.dll - 近邻点搜索缓存1
buffer_Search
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用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
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RS分形算法matlab代码实现,既利用RS方法计算时间序列的分形hurst指数-RS fractal algorithm to achieve Matlab code, RS is calculated using time series fractal hurst index
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1下载：
混沌时间序列分析与预测工具箱 Version1.0
(Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0)
-chaotic time series analysis and forecasting toolbox Version1.0 (Chaotic Time Series Analysis and Prediction of Matlab Toolbox - version 1.0)
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采用自相关法计算混沌时间序列最小延迟时间的Matlab原程序。-using autocorrelation calculated chaotic time series smallest delay time of the original program Matlab.
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采用(去偏)的复自相关法计算混沌时间序列最佳延迟时间DelayTime的Matlab原程序-used (last partial) of the complex autocorrelation calculated chaotic time series best of the delay time DelayTime Matlab original program
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采用AverageDisplacement平均偏移法计算混沌时间序列的DelayTime的Matlab程序 -used AverageDisplacement average deviation method chaotic time series D Matlab procedures elayTime
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采用DelayTime_MutualInformation互信息法计算混沌时间序列的delaytime的Matlab原程序-used DelayTime_MutualInformation mutual information calculation mixed turbid time series delaytime Matlab original program
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使用matlab产生混沌时间序列的源代码-use Matlab chaotic time series generated source code
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使用matlab产生混沌时间序列的源代码-use Matlab chaotic time series generated source code
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使用matlab产生混沌时间序列的源代码-use Matlab chaotic time series generated source code
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使用matlab产生混沌时间序列的源代码-use Matlab chaotic time series generated source code
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互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0
点这里下载: 混沌时间序列分析与预测工具箱 Version1.0
chaotic time series analysis and prediction matlab toolbox - version 1.0
1、该工具箱包括了混沌时间序列分析与预测的常用方法,有
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The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is
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1、该工具箱包括了混沌时间序列分析与预测的常用方法,有:
(1)产生混沌时间序列(chaotic time series)
Logistic映射 - \ChaosAttractors\Main_Logistic.m
Henon映射 - \ChaosAttractors\Main_Henon.m
Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m
Duffing吸引子 - \ChaosAttractors\Main_Duffing.m
Duffin
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混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0
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时间序列分析中常用到的matlab代码，非常多哦。,Commonly used time series analysis of the matlab code, oh many.
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MATLAB中应用的混沌时间序列分析的1.0版本-Application of MATLAB in the analysis of chaotic time series version 1.0
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MATLAB中应用的混沌时间序列分析的2.0版-Application of MATLAB in the analysis of chaotic time series version 2.0
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