Description: 基于Wolf方法计算Lyapunov指数，直接运行文件Wolf_3DLyapunov.m-Wolf calculated based on the Lyapunov exponent, Run the file directly Wolf_3DLyapunov.m Platform: |
Size: 1389 |
Author:贾敏 |
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Description: 基于Wolf方法计算Lyapunov指数，直接运行文件Wolf_3DLyapunov.m-Wolf calculated based on the Lyapunov exponent, Run the file directly Wolf_3DLyapunov.m Platform: |
Size: 1024 |
Author:贾敏 |
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Description: 求解lyapunov指数的经典程序。Matlab版，希望对大家有用！
-Solving lyapunov index classical procedures. Matlab version, in the hope that useful to everybody! Platform: |
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Author:banban220 |
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Description: Lyapunov exponent calcullation for ODE-system. The alogrithm employed in this m-file for determining Lyapunov exponents was proposed in A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985.
For integrating ODE system can be used any MATLAB ODE-suite methods.
This function is a part of MATDS program - toolbox for dynamical system investigation
See: http://www.math.rsu.ru/mexmat/kvm/matds/
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Size: 4096 |
Author:b |
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Description: 最小RMSE神经网络方法计算Lyapunov指数的matlab函数。-This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of network weights and finding network with minimum BIC, derivatives are calculated. Sum of logarithm of QR decomposition on Jacobian matrix for observations gives spectrum of Lyapunov Exponents. Using the code is very simple, it needs only an scalar time series, number of lags and number of hidden unites. Higher number of hidden units leads to more precise estimation of Lyapunov exponent, but it is time consuming for less powerful personal computers. Number of lags determines number of embedding dimensions. Therefore, please give number of lags equal to number of embedding dimension. The codes creates networks with various neurons up to user supplied value for neurons and lags up to user specified number lags. Total number of networks are equal to number of neurons times number of lags. this modeling strategy is complex but helps to user select embedding dimension based on minimum BIC. Platform: |
Size: 2048 |
Author:miaomiao |
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Description: 用Wolf法计算lorenzeq混沌系统的Lyapunov指数谱。改变混沌系统参数，计算准确，运行let.m文件，即可计算Lyapunov指数谱
-Wolf Law lorenzeq chaotic systems Lyapunov exponent spectrum. Change the chaotic system parameters, calculated accurate, run let.m file, you can calculate the Lyapunov exponent spectrum Platform: |
Size: 1024 |
Author:徐益飞 |
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