搜索资源列表
混沌时序多步预测函数
- 混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序-Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure
anfists
- 使用anfists的sugeno-type对混沌时间序列预测。-the use anfists Sugeno-type of chaotic time series prediction.
ChaosToolbox1p0_trial
- 混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测-chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction
Prediction_Volterra
- 混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法
ChaosToolbox1.0_trial_matlab7.0
- 混沌时间序列工具箱，有常有的混沌时间序列预测的方法和混沌判别方法
gp
- 混沌时间序列预测中用gp算法求借嵌入维和分形维。
Chaos_Prediction
- 混沌时间序列分析与预测源代码。具有产生混沌时间序列，求时延，求嵌入维，求关联维，求K熵，求Lyapunov指数谱，求二进制图形的盒子维和广义维，求时间序列的盒子维和广义维，混沌时间序列预测等项功能。
Chaos_TimeSeries_Prediction_Program
- 混沌时间序列预测程序,包括多步预测函数及多步预报的主程序。
Chaos Toolbox Ver.2.0
- C-C方法计算时间延迟和嵌入维数计算Lyapunov指数计算关联维数混沌时间序列预测-The C-C Method is used to calculate the embeded dimension and Lyapunov exponents.It can be used to forcast the time series.
matlab_chaos_toolbox
- 混沌工具箱，用matlab编写的，该工具箱包括了混沌时间序列分析与预测的常用方法-Chaos toolbox matlab prepared to use the toolbox, including a chaotic time series analysis and forecast of the common methods
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
ChaosToolbox
- 该工具箱包括了混沌时间序列分析与预测的常用方法,有: 产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffing
chaos-toolbox
- 混沌时间序列 吸引子 分形 程序 工具包 混沌时间序列分析与预测工具箱 Version1.2 chaotic time series analysis and prediction matlab toolbox - version 1.2 -Chaotic attractor of fractal time series Toolkit chaotic time series analysis and prediction toolbox Version1.2 chaotic tim
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
Prediction_Volterra
- 混沌时间序列预测-Volterra级数一步及多步预测-Progression step and multi-step prediction of chaotic time series prediction-Volterra
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction)RBF神经网络一步预测 -Step prediction of chaotic time series prediction (chaotic time series prediction) RBF neural network
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
LargestLyapunov_Rosenstein
- 混沌时间序列预测中，重构相空间采用小数据量法求取最大李雅普莫诺夫指数。(In the prediction of chaotic time series, the maximum lyapunov index is obtained by the method of small data quantity in the reconstructed phase space.)