搜索资源列表
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。
Volterra-filterforecast
- Volterra滤波器混沌时间序列多步预测，预测效果好
chaotic_time_series_analysis_and_prediction
- 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法。
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.
ChaosToolbox2p9
- 陆振波的混沌时间序列分析与预测工具箱最新版2.9-chaotic time series analysis and prediction matlab toolbox
MainPre_by_Lya_1
- 混沌时间序列法，该程序用加权一阶局域法对数据进行进行一步预测-Chaotic time series method, the program step forecast data weighted one-rank local law
ChaosToolbox2p9_trial
- 海军工程大学的陆振波博士写的混沌时间序列分析与预测工具箱，版本是2.9，均是matlab源码，个人感觉不错，供做混沌研究的同志们参考。-Chaotic Time Series Analysis and Prediction Matlab Toolbox- version 2.9
pre_by_lya_new
- 基于混沌时间序列的利亚普诺夫指数预测是当今的重要方向，现将自编最新的利亚普诺夫指数预测的分享。-Based on the Liapunov index of chaotic time series prediction is an important direction today, now composing the latest Liapunov index forecast sharing.
short-termloadforecastingwithchaostimeseries
- 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The
FS
- 采用局部线性逼近法来预测复杂的混沌时间序列。-Local linear approximation method using chaotic time series prediction
normalize
- 对混沌时间学列但不预测及多步预测的输入信号信号归一化处理-Studies of chaotic time series prediction and multi-step, but not predictable input signal signal normalized
Prediction_RBF
- 混沌时间序列 基于人工神经网络的一步或多步预测-Chaotic time series based on artificial neural network or multi-step prediction step
ChaosToolbox
- 基于MATLAB平台的，混沌时间序列分析与预测工具箱-Chaos Toolbox for time series analisis and forecasting
ChaosAttractors
- 混沌时间序列分析与预测工具箱 (4)同时求时延与嵌入窗的(delay time & embedding window) CC方法 - \C-C Method\Main_CC_Luzhenbo.m (-Chaos time series analysis and forecasting tool box
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
chaostimeseries
- 实现了各种混沌时间序列模型的设定、估计、检验以及预测等功能-chaos timeseries analysis
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- 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法-Prediction is a kind of dynamic filtering, in which past values of one or more time series are used to predict future values. Dynamic neural networks, which include tapped delay lines are used for nonlinear filter
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.