搜索资源列表
AOLMM
- 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast
Volterraprediction
- 小数据量法求混沌吸引子最大Lyapunov指数的Matlab程序，参考文献：张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03-small data method for chaotic attractor largest Lyapunov exponent of Matlab procedures References : Zhang Shu. The chaotic time series Volterra adaptive prediction. Physics
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
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
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
code
- 混沌时间序列加权零阶局域预测.对混沌时间序列进行零阶加权计算，是混沌时间序列预测方法之一-zero-order Weighted partial method
Phase-space-reconstruction-method
- 相空间重构方法用于混沌时间序列预测的方法源代码-Phase space reconstruction method for chaotic time series prediction method source code
C_CMethod_m
- 最近在做混沌时间序列预测，查阅了大量的资料，自己写了这个算法，预测的相对误差大概能控制在5 以内-Recently doing chaotic time series forecasting, access to a lot of the information that they wrote this algorithm, the relative error of prediction can be controlled within about 5
chaotic
- 混沌时间序列是一种确定系统中出现的无规则的运动，内含混沌时间序列预测程序。-It is a chaotic time series to determine the random motion present in the system, containing chaotic time series prediction program.
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
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
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)
sitay_calculating
- 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,(C - C time delay and embedding dimension method to calculate the Lyapunov index calculating correlation dimension chaotic time series prediction,)
c-c算法计算时间tau
- 在混沌时间序列方法进行风电功率预测用C-C算法tau时间(C-C algorithm tau time for wind power prediction using chaotic time series method)