搜索资源列表
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
Mutual_Information
- 利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay
EmbeddingDimension_Cao
- 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab
stcLogistic
- Logistic混沌随机序列的MATLAB产生源程序-Logistic chaotic random sequences generated source MATLAB
ChaoticSequence
- matlab平台下一组低维混沌随机序列产生的源程序-Matlab platform for the next group of low-dimensional chaotic sequence of random source
Henon_chaos
- 产生Henon混沌时间序列的matlab程序-have Henon chaotic time series Matlab procedures
Chens_chaos
- 产生chens混沌时间序列的matlab程序-have chens chaotic time series Matlab procedures
Duffing_chaos
- 产生Duffing混沌时间序列的matlab程序-have Duffing chaotic time series Matlab procedures
Lorenz_chaos
- 产生Lorenz混沌时间序列的matlab程序-have Lorenz chaotic time series Matlab procedures
Rossler_chaos
- 产生Rossler混沌时间序列的matlab程序-have Rossler chaotic time series Matlab procedures
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
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
425g
- 混沌预测总程序，里面有的是我自己编的，有些是我下载的-Chaos Forecast procedures inside some of my own series, I downloaded some of the
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.
dynamicalsystem
- 几种常见混沌时间序列matlab实现 1)chua flow 2)duffing flow 3)Rossler flow 4)Lorenz flow 5)ikeda flow 6)Mackey_Glass flow 7)logistic map 8)henon map 9)Quadratic map(二次图) 也欢迎大家提供更多的混沌方程或映射的经典matlab实现。 -several
glhundungrnn
- 用混沌理论和广义回归神经网络进行短期负荷的预测，取得了满意的效果-with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results
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 achi
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
A_practica_method_for_calculating_largest_Lyapunov
- 小数据量方法求混沌时间序列的最大Lyapunov指数 -small amount of data methods for the chaotic time series largest Lyapunov exponent
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 M