The toolkit includes common methods for analysis and prediction of chaotic time series, including: Chaotic time series Logistic mapping - \ChaosAttractors\Main_Logistic. M Henon mapping - \ChaosAttractors\ main_hen.m Lorenz attractor - \ChaosAttractors\Main_Lorenz. M Duffing attractor - \ChaosAttractors\Main_Duffing. M Duffing2 attractor - \ChaosAttractors\ main_duffing2.m Rossler attracts children - \ChaosAttractors\Main_Rossler. M Chens吸引子 - \ChaosAttractors\Main_Chens.m-The kit includes a chaotic time series analysis and prediction of commonly used methods are: generate chaotic time series (chaotic time series) Logistic map- \ ChaosAttractors \ Main_Logistic.m Henon map- \ ChaosAttractors \ Main_Henon.m Lorenz attractor- \ ChaosAttractors \ Main_Lorenz.m Duffing attractor- \ ChaosAttractors \ Main_Duffing.m Duffing2 attractor- \ ChaosAttractors \ Main_Duffing2.m Rossler attractor- \ ChaosAttractors \ Main_Rossler.m Chens attractor- \ ChaosAttractors \ Main_Chens.m

Contents.m
Main_Chens.m
Main_Duffing2.m
Main_Duffing.m
Main_Henon.m
Main_Logistic.m
Main_Lorenz.m
Main_Rossler.m

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