搜索资源列表
Duffing_Cao.rar
- CAO方法求DUFFING方程的嵌入维数,CAO method DUFFING equation for embedding dimension
ChaosToolbVer.2.0
- 混沌工具箱 C-C方法计算时间延迟和嵌入维数 混沌时间序列预测-Chaos Toolbox CC method to calculate time delay and embedding dimension of chaotic time series prediction
Rossler_Cao
- 基于CAO方法的ROSSLER方程的嵌入维数选取-CAO method based on equation ROSSLER select the embedding dimension
CCmethod2
- 应用改进的CC法求取时间延迟和嵌入维数,效果不错-The modified CC method to strike a time delay and embedding dimension, good results
choas
- 对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作 了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewed and put forward these two pa
lu
- 在用混沌理论和神经网络进行短期负荷预测时,神经网络的输入的选择至关重要,该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
chaotictimeseriesanalysisandprediction
- 混沌分析:对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取提供帮助-chaos analysis
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- 关于相空间重构中参数延迟时间和嵌入维数选择的一种方法的研究-Phase space reconstruction parameters on the delay time and embedding dimension of a method of choice
1
- 相空间重构是非线性动力学研究的第一步,相空间重构最重要的是参数嵌入维数和延迟时间的选择-Phase space reconstruction is the first step in nonlinear dynamics, phase space reconstruction is the most important parameters of embedding dimension and delay time select
2
- 相空间重构中嵌入维数和延迟时间的选择关系到非线性时间序列重构的质量,介绍了小波变换方法确定重构中的两个参数-Reconstruction of phase space embedding dimension and delay time related to the choice of the quality of reconstruction of nonlinear time series, introduces the wavelet transform method to determi
program
- 相空间重构参数选择 延迟时间和嵌入维数-Phase space reconstruction parameters delay time and embedding dimension
lyap_k
- 计算最大李雅普诺夫指数,输入变量为嵌入维数、延迟时间以及数据。-For calculating the maximal Lyapunov exponent.
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
C-C-Method
- 该程序用于求解时间延迟t和嵌入维数m,该方法不同于自相关函数法和gp法,可以同时求解出两个量t和m的值,非常方面,在求解lyapunov指数时经常用到该方法-The procedure used to solve the time delay t and the embedding dimension m, the method is different from the self-correlation function gp method can solve the two quantiti
1c-c
- 计算延迟时间t和嵌入维数m的matlab程序,该程序为转载,用于计算洛伦兹函数的程序-Calculate the delay time t and the embedding dimension m matlab program, the program is reproduced, the procedure used to calculate the Lorentz function
C-C-method
- 运用C-C算法重构相空间重构嵌入维数和计算时间延迟-Using C-C reconstruction of phase space reconstruction algorithm embedded dimension and computing time delay
lianxi
- 一个关于混沌序列相空间重构的例子,里面有关于嵌入维数如何确定的程序代码-Examples of phase space reconstruction of chaotic sequence, which has a code of how to determine the embedding dimension
mutual_information
- 用互信息求嵌入维数的matlab 该方法有效的计算嵌入维数-The method of the mutual information seeking embedding dimension matlab calculate the embedding dimension
Time-series-analysis-CC-algorithm
- 时间序列的相空间重构延迟时间和嵌入维数的CC算法-Time series analysis CC algorithm for delay time and embedding dimension
Chaos-Toolbox-Ver.2.0
- C-C方法计算时间延迟和嵌入维数 主程序:C_CMethod.m, C_CMethod_independent.m 子函数:correlation_integral.m(计算关联积分) disjoint.m(将时间序列拆分成t个不相关的子序列) heaviside.m(计算时间序列的海维赛函数值)-CC method to calculate the time delay and embedding dimension of the main program: C_CMeth