搜索资源列表
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
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
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
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
fractal-predict-pdf
- 该文章从混沌和分形的关系出发，基于奇异吸引子的分形结构和时间序列的自仿射特性，提出了一种混沌时间序列的预测方法。采用迭代函数系统跟踪混沌的局部运动轨迹，由此确定统计意义上放射性能最优的时间序列段，并分局吸引子定力和拼贴定理建立预测模型。-This article from the chaos and fractal relationship starting, based on the characteristics of self-affine fractal structure and ti
ChaosToolbox2p0_trial
- 这是混沌时间序列预测的工具箱，里面有测量关联维数的GP方法，还有测量延迟时间t的时序法，有C_C方法这种可以来测量两者的方法。-This is the chaotic time series prediction toolbox, which has measured correlation dimension GP method, as well as measuring the delay time t timing method, there C_C Method This method
hundunshijianyuce
- 混沌时间序列的Volterra级数多步预测研究，混沌理论认为在混沌系统中，初始条件的十分微小的变化经过不断放大，对其未来状态会造成极其巨大的差别。 -Volterra series of chaotic time series multi-step prediction, chaos theory is that in the chaotic system, the initial conditions of very small changes through continuous zoom,
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
chaos-time-series-prediction
- 混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确-chaos time series prediction
G---P-algorithm-
- G-P算法计算关联维数，可以运用在混沌时间序列的瓦斯浓度预测研究中-GP algorithm to calculate the correlation dimension, you can use the gas concentration in the prediction of chaotic time series in
G_P
- 对于混沌时间序列的预测，重构相空间可用此方法计算嵌入的维数。-it is for the chaotic time series to reconstruct the image space about how to get the dimention number.
Chaotic-Time-Series-Analysis
- 吕金虎《 混沌时间序列分析及其应用》，对混沌和预测相关的有很大帮助-Lu Jinhu "chaotic time series analysis and its applications," chaos and prediction of great help related
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
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- 用于混沌时间序列自适应预测的一种稀疏Volterra滤波器--Adaptive prediction of chaotic time series for a sparse Volterra filter-
Prediction_RBF
- 混沌时间序列的RBF一步及多步预测，工具matlab，Chaotic time series RBF one-step and multi-step prediction-混沌时间序列的RBF一步及多步预测 Chaotic time series RBF one-step and multi-step prediction
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
FunctionChaosPredict
- 利用一阶局域加权法进行混沌时间序列的预测。-Using a weighted-rank local-region method of forecasting chaotic time series.
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