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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.
MATLAB-neural-network-stock
- 神经网络股市预测代码，基于混沌序列的matlab程序-The neural network stock prediction code, matlab program based on chaotic sequences
hundunshijianxulieyuce
- 用于混沌时间预测与分析，经调试，可以运行-Used for prediction and analysis of chaotic time, debugging, you can run
Chaotic-prediction
- 混沌时序多步预测函数，采用matlab编程，简单易懂-Chaotic time series multi-step prediction function, using the Matlab programming, easy to understand
Volterra-PSR
- Volterra_混沌序列的相空间重构程序，利用matlab编程，可以将一维时间序列重构到高维空间，挖掘出隐含的信息，提高预测精度，以Volterra混沌序列为例，展示混沌的美妙-Phase space reconstruction program, Volterra_ chaotic sequence using matlab programming, refactoring can be one-dimensional time series into a high dimensional
chaos333
- 混沌理论预测方法，可以进行多步骤预测，方便使用，很用的工具。-chaos a very good sofeward if you have you will find very goog
chaosmatalb666
- 用于混沌时间预测一个很好的工具。可以求时间延时和时间窗。非常好用的一个预测工具-a very good software.which can make something more good.and make somebody know much
chaos56
- 用于混沌开发。混沌方式识别的一个matlab程序。十分好用。可以准确预测数据-a very good software which can make more strong and more popular. more good
choas
- 混沌时间序列分析与预测工具箱 Version1.2-Chaotic time series analysis and prediction toolbox Version1.2
prediction_one_step
- 混沌序列与一步预测值, 一步预测RBF神经网络-Chaotic sequence with step pre-
Dchaos-predica
- 基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见 -, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications
lorenz
- 产生混沌时间序列，常用来测试算法函数逼近及预测能力的测试-Produce chaotic time series
Predict
- 混沌动力学中，局域法的多步预测方法，做了修正-Chaotic dynamics, multi-step prediction method for local law amended
cnn
- 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-Chaos theory and neural network short-term load forecasting, neural network input is essential to choose the program implemented in matlabl choice of embedding dimension based on chaot
1010280956fe8fe2fe0827f49e
- 基于混沌时间序列的神经网络预测，包括一步和多步预测算法-Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
abbr
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测-This procedure is based on chaos theory and ELMAN neural network short-term load forecast
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
chaossuijishu
- 利用混沌对初始值的敏感性，使得利用混沌产生的随机数具有更高的安全性和不可预测性。-chaos initial value sensitivity, makes use of chaotic generated random number has a higher security and unpredictability.