搜索资源列表
Chaos
- MATLAB混沌时间序列分析工具箱,可以加到MATLAB中应用-MATLAB toolbox chaotic time series analysis, can be added to the application of MATLAB
hundunRBF
- MATLAB分析混沌时间序列的方法的M文件，适合初学者-MATLAB method of chaotic time series analysis of M-files, suitable for beginners
chaotic-spreading-sequences
- 混沌扩频序列的生成，用于混沌算法，初始种群生成-The generation of chaotic spreading sequences for the chaotic algorithms, initial population generation
Mackey-Glass-Matlab
- 利用Matlab 和 c++ ，构造混沌时间序列Mackey-Glass 数据集 -chaotic time series dataset
ithm
- 混沌伪随机序列均匀化普适算法的FPGA实现-Homogenization of chaotic pseudo-random sequence FPGA realization of the universal algorithm
High-embedded-chaos-load-series
- 高嵌入维混沌负荷序列预测方法研究 对混沌理论的又一次研究-High load embedded chaotic series prediction
ChaosToolbox
- 基于MATLAB平台的，混沌时间序列分析与预测工具箱-Chaos Toolbox for time series analisis and forecasting
false_nearest
- 计算混沌时间序列中的伪临近点，为进一步分析混沌时间序列的K熵，lyapunov指数做数据处理。-Calculate the pseudo-chaotic time series near the point, further analysis of chaotic time series for the K-entropy, lyapunov index to do data processing.
hexinqikanxiangguanlunwen
- 为了得到更加精确的混沌时间序列信号的关联维数计算值, 提出了识别无标度区间的新方法. 首先基于K-means 算法将关联积分双对数曲线中明显不属于无标度区间的点剔除掉 其次提出点斜率误差算法从上一步保留下来的点中识别出一个大概的无标度区间 最后再次基于K-means 算法从大概的无标度区间中识别出更加准确的无标度区-To obtain more precise time sequence of signals 关联维 really counted, the identification of n
average-period-of-chaos
- 混沌理论学习资料-混沌时间序列的平均周期计算方法-Chaos theory learning materials- the average period of chaotic time series is calculated
fnn.c.tar
- 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维 -Cao method based on chaotic time series obtained by the optimal reconstruction phase space embedding dimension
Chaos
- 混沌映射序列的自相关函数图,用于电机混沌控制-Chaotic maps autocorrelation function map for motor control chaos
ChaosAttractors
- 混沌时间序列分析与预测工具箱 (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 (-Chaos time series analysis and forecasting tool box
EMD-papers
- Matlab的关于EMD的几篇文章 谱和主成份分析用于EMD分解研究；基于EMD方法的混沌时间序列预测-Matlab several articles on EMD and principal component analysis for spectral decomposition of EMD EMD-based method of chaotic time series prediction
Multi-step-prediction-of-chaotic
- Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network 协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic time series, it
Xinying_Ph.D.thesis
- SUPPORT VECTOR MACHINE IN CHAOTIC HYDROLOGICAL TIME SERIES FORECASTING 支持向量机混沌时间序列预测-This research attempts to demonstrate the promising applications of a relatively new machine learning tool, support vector machine, on chaotic hyd
ccmethod
- cc meth0d 用于计算混沌时间序列的延时和维数-cc meth0d
53733928LogisticEq
- 混沌(Chaos),Logistic方程 X(n) = k*X(n-1)*( 1-X(n-1) ),即二次函数 f(x) = k*x(1-x), 选择适当的常数k,选择初始值 x0,迭代计算: x1=f(x0), x2=f(x1), x3=f(x2),..., 序列{ Xn }的整体"状态" -producing a Logistic equation and its figure according to the parameter
time-series-analysis
- 时间序列分析的书籍，包括混沌时间序列的liyapunov指数计算，分形位数的计算等。-some books about time series analysis
approximate-entropy
- 混沌时间序列分析所用的近似商的计算方法，可算出学列中的近似熵。-approximate entropy