搜索资源列表
pcatry
- 本程序为基于MATLAB开发的，混沌时间序列特性分析之PCA方法的应用实例-This procedure was developed based on MATLAB, Analysis of chaotic time series properties of the application of PCA method
Rossler_Reconstruction
- ROSSLER方程的混沌时间序列相空间重构程序-Equation ROSSLER chaotic time series phase space reconstruction procedure
C-CDocument
- 对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。-Of chaotic time series pha
SVMbasedchaotictimeseriesanalysis
- 基于SVM的混沌时间序列分析 把SVM优化算法用于混沌时间序列分析 可以得到优于一些方法的结果-SVM-based chaotic time series analysis of the SVM optimization algorithm for chaotic time series analysis methods can be superior to the results of
chaos
- 自己做的混沌时间序列分许的PPT，简单实用，希望对你有所帮助。-Their own points of chaotic time series Hsu' s PPT, simple, practical, and they hope to help you.
FunctionChaosPredict
- 利用一阶局域加权法进行混沌时间序列的预测。-Using a weighted-rank local-region method of forecasting chaotic time series.
C_CMethod
- 混沌时间序列分析中的c-c方法，用于求相空间重构时的求时间窗和延时时间-Chaotic time series analysis of the cc method for phase-space reconstruction for the order when the time window and delay time
G_P
- 混沌时间序列分析中的Ｇ－Ｐ方法，用来计算相空间重构用到的关联维和嵌入维数-Chaotic time series analysis of the G-P method, used to calculate the phase-space reconstruction using the correlation dimension and embedding dimension
xx
- 多变量混沌时间序列预测及其在股票市场中的应用 硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis
Chaotic_time_series_modeling_and_forecasting
- 此文档可以用来帮助研究混沌时间序列的建模与预测-This document can be used to support the research on chaotic time series modeling and forecasting
Chaotic_time_series_method_of_determination
- 介绍了一些混沌时间序列的判定方法，对混沌时间序列研究有一定的帮助-Describes some of the chaotic time series to determine methods of study of the chaotic time series will certainly help
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 reviewe
4Chaos_Prediction
- 关于混沌时间序列的预测工具箱，可以方便各行各业人员预测-chaotic predictability
ChaosToolbox2p0_trial
- 混沌工具箱（matlab）: 产生混沌时间序列 求时延(delay time) 求嵌入维(embedding dimension) 求关联维(correlation dimension) 等等.....
chaos1
- 混沌时间序列预测法的实现仿真，时间延迟，关联维，最大Lyapauon指数-Chaotic time series prediction method to achieve simulation, time delay, correlation dimension, largest Lyapauon index
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 matla
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
2010-02-05(C-C)
- C-C算法应用关联积分能够同时估计出时间延迟和嵌入维数，是相空间重构的前提。 本程序通过C-C算法计算duffing方程产生的混沌时间序列的时间延迟和嵌入维数。-CC algorithm is used to simultaneously estimate the correlation integral time delay and embedding dimension, is a prerequisite for phas
kNN_pred
- 采用改进的K最近邻算法对混沌时间序列进行预测-The improved K-nearest neighbor algorithm to predict chaotic time series
shijianxulie
- 一本详细介绍混沌时间序列原理与应用的书，不错的-A detailed application of chaos theory and time series of the book, a good