搜索资源列表
noepeatMRANDOM
- 以为混沌的生成具有使得产生的序列具有随机性和不重复性。-Think chaos generation has made a random sequences generated and repeatability.
ChaosToolbox2p0_trial
- 这是混沌时间序列预测的工具箱，里面有测量关联维数的GP方法，还有测量延迟时间t的时序法，有C_C方法这种可以来测量两者的方法。-This is the chaotic time series prediction toolbox, which has measured correlation dimension GP method, as well as measuring the delay time t timing method, there C_C Method This method
Analysis-of-chaotic-time-series
- 程序作用是用于典型混沌时间序列的混沌特性分析。-Application for analysis chaotic characteristics of typical chaotic time series.
auto_embedding
- 基于自动算法求解混沌时间序列的嵌入维的程序-Automatic algorithm for embedding dimension of chaotic time series
PCA_dim
- 基于PCA主成分分析的混沌时间序列嵌入维求解算法-Based on PCA principal component analysis of chaotic time series embedding dimension algorithm
lyapunov_rosenstein
- 基于rosenstein法的混沌时间序列最大利亚普诺夫指数算法-Method based on chaotic time series rosenstein largest Liapunov exponent algorithm
Prediction
- 混沌时间序列预测神经网络一步预测神经网络多步预测-chaotic time series predictionMain_RBF_MultiStepPred.m
G_P
- 对于混沌时间序列的预测，重构相空间可用此方法计算嵌入的维数。-it is for the chaotic time series to reconstruct the image space about how to get the dimention number.
forecasting-model-BP
- 基于BP神经网络的混沌时间序列预测模型研究-Chaotic time series BP neural network forecasting model based on
OpenTSTOOL
- 混沌时间序列工具箱OpenTStool，解压后添加后matlab工具箱中即可，里面有说明，很好用。-Chaotic Time Series Toolbox OpenTStool
AdaBoostL2SVR
- 支持向量机的混沌是假序列预测研究，支持最小二乘法的向量机-SVM is a false prediction of chaotic sequence, least squares support vector machine
C_CMethod
- c-c法用于计算混沌时间序列嵌入维数和延迟时间-C- c method is used to calculate the chaos time series embedding dimension and delay time
mutual-information-methodtau
- 计算混沌时间序列的延迟时间，以便于相空间重构-Calculate the delay time of chaotic time series
Mackey-Glass-Time-Series-Forecasting
- 用模糊预测混沌时间序列预测方法的matlab程序，很好用-Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster
geikun
- 基于混沌的模拟退火算法，可以提取一幅图中想要的目标，LZ复杂度反映的是一个时间序列中。- Chaos-based simulated annealing algorithm, Target can be extracted in a picture you want, LZ complexity is reflected in a time sequence.
Prediction_RBF
- 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
nm567
- 时间序列数据分析中的梅林变换工具，混沌的判断指标Lyapunov指数计算,线性调频脉冲压缩的Matlab程序。- Time series data analysis Mellin transform tool, Chaos indicator for Lyapunov index calculation, LFM pulse compression of the Matlab program.
fttpp
- 基于混沌的模拟退火算法，时间序列数据分析中的梅林变换工具，有较好的参考价值。- Chaos-based simulated annealing algorithm, Time series data analysis Mellin transform tool, There are good reference value.
er281
- 实现了对10个数字音的识别，时间序列数据分析中的梅林变换工具，基于混沌的模拟退火算法。- To achieve the recognition of 10 digital sound, Time series data analysis Mellin transform tool, Chaos-based simulated annealing algorithm.
www.dssz.com_dssz
- 混沌时间序列预测中的李雅普诺夫指数算法，判断时间序列的混沌特性(The Lyapunov exponent algorithm in chaotic time series prediction is used to determine the chaotic characteristics of time series)