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
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_luzhenbo
- Volterra自适应预测的 matlab 程序,用于自适应预测测试和混沌序列的相空间重构（转）-Volterra adaptive prediction Matlab procedures for testing and adaptive prediction chaotic sequence of phase space Reconstruction (switch)
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
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.
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 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)
Time-series-prediction-with-anfis
- 采用模糊神经网络anfis预测混沌时间序列的源程序。-The source program of Using fuzzy ANFIS neural network for predicting chaotic time series.
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
新建文件夹
- BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。(BP Neural network stock modeling, with the stock market chaos and fractal theory gradually established, people began to
混沌预测工具箱
- 包括c-c相空间重构及改进算法，CAO方法相空间重构，RBF神经网络及支持向量机预测等
ESN-master
- 运用回声状态网络进行混沌时间序列预测，测试集为MackeyGlass_t17(Time series prediction using echo state network)
小波变换和混沌理论在股市预测中的应用
- 应用小波变换和混沌理论相结合的方法对股票市场进行预测 ,即先对股指时序进行小波分解 ,然后对分解得到的高、低频部分分别进行混沌预测 ,再将预测的结果进行小波重构 ,得到原时序的预测结果。 在此基础上应用小波和混沌理论提出进一步提高预测精度的方法 ,即通过对高频部分再进行小分解、混沌预测和小波重构而使高频部分的预测精度得以提高 ,进而提高原始时序的预测精度。(The method of combining wavelet transform and chaos theory is used to
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.)