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
chaos1
- 混沌时间序列预测法的实现仿真，时间延迟，关联维，最大Lyapauon指数-Chaotic time series prediction method to achieve simulation, time delay, correlation dimension, largest Lyapauon index
hundunchengxu
- 本文是一个混沌工具箱，可以实现混沌预测算法，使用时粘贴到matlab中既可以运行。-This is a chaotic toolbox, can achieve chaos prediction algorithm, when used in either paste it into matlab to run.
ChaosToolbox
- 该工具箱包括了混沌时间序列分析与预测的常用方法,有: 产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffing
Chaos_Toolbox
- 混沌时间序列预测程序与文档 包括CC方法、GP方法、Lyapunov指数预测等-Chaotic time series prediction method procedures and documentation, including CC, GP method, Lyapunov index prediction
lu
- 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-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
chaos
- 混沌识别，混沌特征指数的计算以及混沌预测。-Chaotic identification, chaotic characteristics of index calculation and prediction of chaos.
chaos-toolbox
- 混沌时间序列 吸引子 分形 程序 工具包 混沌时间序列分析与预测工具箱 Version1.2 chaotic time series analysis and prediction matlab toolbox - version 1.2 -Chaotic attractor of fractal time series Toolkit chaotic time series analysis and prediction toolbox Version1.2 chaotic tim
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
混沌tent映射tent分叉程序
- 构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN)，目的在于用改进的灰狼优化算法优化神经网络模型，利用神经网络的反向传播优势，改善神经网络算法易于陷入局部最小值的缺陷，提高神经网络模型的预测精度。(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization alg
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.)