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混沌时间序列分析与预测工具箱 Version2.0
chaotic time series analysis and prediction matlab toolbox - trial version 2.0
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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
Duffing2吸引子 - \ChaosAttractors\Main_Duffing2.m
Rossler吸引子 - \ChaosAttractors\Main_Rossler.m
Chens吸引子 - \ChaosAttractors\Main_Chens.m
Ikeda吸引子 - \ChaosAttractors\Main_Ikeda.m
MackeyGLass序列 - \ChaosAttractors\Main_MackeyGLass.m
Quadratic序列 - \ChaosAttractors\Main_Quadratic.m
(2)求时延(delay time)
自相关法 - \DelayTime_Others\Main_AutoCorrelation.m
平均位移法 - \DelayTime_Others\Main_AverageDisplacement.m
(去偏)复自相关法 - \DelayTime_Others\Main_ComplexAutoCorrelation.m
互信息法 - \DelayTime_MutualInformation\Main_Mutual_Information.m
(3)求嵌入维(embedding dimension)
假近邻法 - \EmbeddingDimension_FNN\Main_FNN.m
Cao方法 - \EmbeddingDimension_Cao\Main_EmbeddingDimension_Cao.m
(4)同时求时延与嵌入窗(delay time & embedding window)
CC方法 - \C-C Method\Main_CC_Luzhenbo.m
(5)求关联维(correlation dimension)
GP算法 - \CorrelationDimension_GP\Main_CorrelationDimension_GP.m
(6)求K熵(Kolmogorov Entropy)
GP算法 - \KolmogorovEntropy_GP\Main_KolmogorovEntropy_GP.m
STB算法 - \KolmogorovEntropy_STB\Main_KolmogorovEntropy_STB.m
(7)求最大Lyapunov指数(largest Lyapunov exponent)
小数据量法 - \LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein1.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein2.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein3.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein4.m
(8)求Lyapunov指数谱(Lyapunov exponent spectrum)
BBA算法 - \LyapunovSpectrum_BBA\Main_LyapunovSpectrum_BBA1.m
\LyapunovSpectrum_BBA\Main_LyapunovSpectrum_BBA2.m
(9)求二进制图形的盒子维(box dimension)和广义维(genealized dimension)
覆盖法 - \BoxDimension_2D\Main_BoxDimension_2D.m
- \GeneralizedDimension_2D\Main_GeneralizedDimension_2D.m
(10)求时间序列的盒子维(box dimension)和广义维(genealized dimension)
覆盖法 - \BoxDimension_TS\Main_BoxDimension_TS.m
- \GeneralizedDimension_TS\Main_GeneralizedDimension_TS.m
(11)混沌时间序列预测(chaotic time series prediction)
RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m
RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m
Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m
Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra_MultiStepPred.m
(12)产生替代数据(Surrogate Data)
随机相位法 - \SurrogateData\Main_SurrogateData.m
2、在matlab环境中首先运行install.m,将工具箱所在路径添加至matlab
3、各子目录下以Main_开头的文件即是主程序文件,直接按快捷键F5运行即可
4、工具箱中所有程序均在Matlab6.5和Matlab7.1环境中调试通过，不能保证在Matlab其它版本正确运行。
5、工具箱中部分功能为试用版，敬请谅解！
6、
作者：陆振波，海军工程大学
欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
电子邮件：luzhenbo@yahoo.com.cn
个人主页：http://luzhenbo.88uu.com.cn
混沌计算工具箱 matlab代码
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2008-12-26
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混沌计算工具箱 matlab代码 （123个子文件） 
SearchNN_Buffer2.dll 126KB SearchNN_Buffer2.dll 126KB SearchNN_Buffer2.dll 126KB SearchNN_Buffer1.dll 118KB SearchNN_Buffer1.dll 118KB SearchNN_Buffer1.dll 118KB cao_buffer.dll 107KB buffer.dll 29KB ChensData.dll 20KB RosslerData.dll 20KB LorenzData.dll 20KB DuffingData2.dll 20KB DuffingData.dll 20KB LorenzData.dll 20KB CC_luzhenbo.dll 20KB LorenzData.dll 20KB Mutual_Information.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB CorrelationIntegral.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB cao_luzhenbo.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB KolmogorovEntropy.dll 20KB LorenzData.dll 20KB LorenzData.dll 20KB CorrelationIntegral.dll 20KB
dla.gif 30KB dla.gif 30KB Main_KolmogorovEntropy_GP.m 3KB Main_CorrelationDimension_GP.m 2KB Main_RBF_MultiStepPred.m 2KB Main_Volterra_MultiStepPred.m 2KB Main_LyapunovSpectrum_BBA2.m 2KB Main_RBF.m 2KB Main_Volterra.m 2KB Main_KolmogorovEntropy_STB.m 2KB Main_LyapunovSpectrum_BBA1.m 2KB Main_SurrogateData.m 2KB Main_LargestLyapunov_Rosenstein3.m 2KB Main_EmbeddingDimension_FNN.m 1KB Main_LargestLyapunov_Rosenstein4.m 1KB Main_EmbeddingDimension_Cao.m 1KB Main_Mutual_Information.m 1KB Main_LargestLyapunov_Rosenstein1.m 1KB Main_LargestLyapunov_Rosenstein2.m 1KB Main_Ikeda.m 1KB Main_CC_Luzhenbo.m 1KB Main_GeneralizedDimension_TS.m 1KB Main_Lorenz.m 1KB Main_BoxDimension_TS.m 1KB Main_Rossler.m 1KB Main_ComplexAutoCorrelation.m 1008B Main_Duffing2.m 991B Main_Duffing.m 989B Main_AutoCorrelation.m 986B Main_AverageDisplacement.m 983B Main_Chens.m 950B Main_GeneralizedDimension_2D.m 934B Main_Henon.m 929B Main_BoxDimension_2D.m 917B Main_Logistic.m 893B install.m 780B Main_MackeyGLass.m 639B createmgdde23.m 538B Main_Quadratic.m 468B Contents.m 50B Contents.m 49B Contents.m 47B Contents.m 42B Contents.m 42B Contents.m 35B Contents.m 33B Contents.m 32B Contents.m 27B Contents.m 25B Contents.m 25B Contents.m 25B Contents.m 24B Contents.m 24B Contents.m 22B Contents.m 20B Contents.m 18B Contents.m 17B wfbm.p 11KB wfbm.p 11KB GeneralizedDimension_TS.p 10KB BoxDimension_TS.p 8KB GeneralizedDimension_2D.p 8KB LyapunovSpectrum_BBA.p 7KB BoxDimension_2D.p 7KB Lyapunov_rosenstein_2.p 6KB FNN.p 6KB SurrogateData.p 5KB LM2.p 5KB共 123 条
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