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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
Volterraprediction1
- 混沌时间序列的Volterra一步预测的Matlab程序-chaotic time series forecast Volterra step procedure Matlab
Volterra_hwg
- 在MATLAB上实现混沌时间序列的Volterra预测算法-in MATLAB achieve chaotic time series prediction algorithm Volterra
Volterra_MultiStepPred_luzhenbo
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlineariti
Mlb
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-achieved using Matlab using statistical methods to solve nonlinear chaotic time series forecasting system problems
bestdimensionm
- 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-using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series bas
s23uan
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will
ChaosToolbox1p0_trial
- 混沌时间序列分析与预测工具箱 Version1.0 (Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0) -chaotic time series analysis and forecasting toolbox Version1.0 (Chaotic Time Series Analysis and Prediction of Matlab Toolbox - version 1.0)
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)