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:
(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
(2)求时延的(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)求嵌入维的(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的(delay time & embedding window)
CC方法 - \C-C Method\Main_CC_Luzhenbo.m
(5)求关联维的(correlation dimension)
G-P算法 - \CorrelationDimension_GP\Main_GP_Algorithm.m
Tackens算法 - \CorrelationDimension_Takens\Main_CorrelationDimension.m
(6)求最大Lyapunov指数的(largest Lyapunov exponent)
小数据量法 - \LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein1.m
- \LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein2.m
(7)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
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Matlab6.5/7.0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
混沌时间序列分析与预测工具箱-ChaosToolbox1p0_trial.rar
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2019-08-13
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ChaosToolbox1p0trial.rar （83个子文件） 
ChaosToolbox1p0_trial Prediction_Volterra 
volterra_test.p 492B PhaSpa2VoltCoef.p 3KB LorenzData.dll 20KB Main_Volterra.m 2KB Contents.m 50B normalize_a.m 639B PhaSpaRecon.m 1KB Main_Volterra_MultiStepPred.m 2KB volterra_train_lu.p 4KB DelayTime_Others Main_AutoCorrelation.m 936B AverageDisplacement.m 955B LorenzData.dll 20KB Main_AverageDisplacement.m 950B Main_ComplexAutoCorrelation.m 979B AutoCorrelation.m 623B Contents.m 42B PhaSpaRecon.m 1KB ComplexAutoCorrelation.m 961B CorrelationDimension_GP CorrelationIntegral.dll 20KB LorenzData.dll 20KB Contents.m 19B normalize_1.m 550B Main_GP_Algorithm.m 1KB EmbeddingDimension_FNN SearchNN_Buffer1.dll 118KB LorenzData.dll 20KB Contents.m 25B PhaSpaRecon.m 1KB SearchNN_Buffer2.dll 126KB SearchNN.p 2KB FNN.p 6KB Main_FNN.m 1KB
工具箱说明.txt 2KB DelayTime_MutualInformation LorenzData.dll 20KB Contents.m 20B Main_Mutual_Information.m 1KB buffer.dll 29KB Mutual_Information.dll 20KB install.m 465B Prediction_RBF LorenzData.dll 20KB Contents.m 49B normalize_a.m 639B normalize_1.m 550B PhaSpaRecon.m 1KB Main_RBF.m 2KB Main_RBF_MultiStepPred.m 2KB CorrelationDimension_Takens CorrelationDimension.dll 20KB LorenzData.dll 20KB Contents.m 22B CorrDim_buffer.dll 140KB Main_CorrelationDimension.m 1KB normalize_1.m 562B PhaSpaRecon.m 1KB C-C Method CC_luzhenbo.dll 20KB LorenzData.dll 20KB Contents.m 18B Main_CC_Luzhenbo.m 1KB ChaosAttractors DuffingData2.dll 20KB Main_Duffing2.m 829B Main_Henon.m 759B Main_Chens.m 788B LorenzData.dll 20KB Main_Lorenz.m 932B ChensData.dll 20KB Main_Duffing.m 827B Main_Rossler.m 916B Contents.m 22B DuffingData.dll 20KB RosslerData.dll 20KB Main_Logistic.m 742B LargestLyapunov_Rosenstein SearchNN_Buffer1.dll 118KB LorenzData.dll 20KB Main_LargestLyapunov_Rosenstein2.m 1KB Main_LargestLyapunov_Rosenstein1.m 1KB Lyapunov_rosenstein_2.p 6KB Contents.m 30B PhaSpaRecon.m 1KB SearchNN_Buffer2.dll 126KB SearchNN.p 2KB EmbeddingDimension_Cao Main_EmbeddingDimension_Cao.m 1KB LorenzData.dll 20KB cao_luzhenbo.dll 20KB cao_buffer.dll 107KB Contents.m 17B资源评论
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