详细说明：混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测-chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction

 近期下载过的用户:  橘子 毛飞 chunfei 卢东岳 李普 王宇野 王晶 heming 记号 张燕萍 Clare lisu [查看上载者四度的更多信息]

 相关搜索: 混沌时间序列预测 matl chaos toolbox 混沌 Mutual_Information.m下载  ChaosToolbox1p0_trial 混沌序列的相空间重构的MATLABT程序  混沌 工具箱 时间序列预测 时间序列 李雅普 混沌时间序列预测 混沌时间序列预测神经网络 混沌 神经网络 混沌 包 神经网络 混沌 分形 预测 预测 神经网络 时间序列 时间序列 预测 李雅普诺夫 神经网络 预测 ChaosToolbox1p0_trial 

 [fdim.rar] - 计算广义分形维数的matlab源程序。希望对大家有用！ 函数形式：function [dq,rq]=fdim(q,x,trace) 不同q值下得到不同定义的分形维，如：q=0 is Hausdorf, q=1 is Information, q=2 is Correlation, etc.具体
 [s23uan.rar] - 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
 [csademo.rar] - 这是一个基于模拟退火算法的混沌神经网络模型
 
 [guanlianweishu.rar] - 这是求分形关联维数的另一个ＭＡＴＬＡＢ程序，希望对大家有用
 [结果分析演示系统.rar] - 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现
 [lorenzsystembyinline.rar] - 利用Maltab求解变参数lorenz方程,在非线性动力学和混沌研究中经常遇到类似的问题。本程序也可以求解类似的有变参数的微分方程系统如Chen system, Lv system, Rossler system 等。
 [matlab_RS.rar] - matlab RS 分形程序，用于稳定性检验，也可以进行周期长度估计，当统计量图形形状发生变化，就发生突变，短期记忆消失
 [ACO_Peng_V4.zip] - 这是我用matlab编写的，利用蚁群算法（ACO）求连续函数最优解的源码。是对段海滨《蚁群算法原理及应用》一书中，网格策略法的实现。
 [matlabForcast.rar] - matlab时间序列预测，本程序采用遗忘因子算法的方式实现
 [Chens.rar] - 本压缩包里为Chen吸引子的Matlab程序，各参数都是进入混沌状态的标准参数。

文件列表(点击判断是否您需要的文件):
  ChaosToolbox1p0_trial
  .....................\C-C Method
  .....................\..........\CC_luzhenbo.dll
  .....................\..........\LorenzData.dll
  .....................\..........\Main_CC_Luzhenbo.m
  .....................\ChaosAttractors
  .....................\...............\ChensData.dll
  .....................\...............\DuffingData.dll
  .....................\...............\DuffingData2.dll
  .....................\...............\LorenzData.dll
  .....................\...............\Main_Chens.m
  .....................\...............\Main_Duffing.m
  .....................\...............\Main_Duffing2.m
  .....................\...............\Main_Henon.m
  .....................\...............\Main_Logistic.m
  .....................\...............\Main_Lorenz.m
  .....................\...............\Main_Rossler.m
  .....................\...............\RosslerData.dll
  .....................\CorrelationDimension_GP
  .....................\.......................\CorrelationIntegral.dll
  .....................\.......................\LorenzData.dll
  .....................\.......................\Main_GP_Algorithm.m
  .....................\.......................\normalize_1.m
  .....................\CorrelationDimension_Takens
  .....................\...........................\CorrDim_buffer.dll
  .....................\...........................\CorrelationDimension.dll
  .....................\...........................\LorenzData.dll
  .....................\...........................\Main_CorrelationDimension.m
  .....................\...........................\normalize_1.m
  .....................\...........................\PhaSpaRecon.m
  .....................\DelayTime_MutualInformation
  .....................\...........................\buffer.dll
  .....................\...........................\LorenzData.dll
  .....................\...........................\Main_Mutual_Information.m
  .....................\...........................\Mutual_Information.dll
  .....................\DelayTime_Others
  .....................\................\AutoCorrelation.m
  .....................\................\AverageDisplacement.m
  .....................\................\ComplexAutoCorrelation.m
  .....................\................\LorenzData.dll
  .....................\................\Main_AutoCorrelation.m
  .....................\................\Main_AverageDisplacement.m
  .....................\................\Main_ComplexAutoCorrelation.m
  .....................\................\PhaSpaRecon.m
  .....................\EmbeddingDimension_Cao
  .....................\......................\cao_buffer.dll
  .....................\......................\cao_luzhenbo.dll
  .....................\......................\LorenzData.dll
  .....................\......................\Main_EmbeddingDimension_Cao.m
  .....................\EmbeddingDimension_FNN
  .....................\......................\FNN.m
  .....................\......................\LorenzData.dll
  .....................\......................\Main_FNN.m
  .....................\......................\PhaSpaRecon.m
  .....................\......................\SearchNN.m
  .....................\......................\SearchNN_Buffer1.dll
  .....................\......................\SearchNN_Buffer2.dll
  .....................\install.m
  .....................\LargestLyapunov_Rosenstein
  .....................\..........................\LorenzData.dll
  .....................\..........................\Lyapunov_rosenstein_2.m
  .....................\..........................\Main_LargestLyapunov_Rosenstein1.m
  .....................\..........................\Main_LargestLyapunov_Rosenstein2.m
  .....................\..........................\PhaSpaRecon.m
  .....................\..........................\SearchNN.m
  .....................\..........................\SearchNN_Buffer1.dll
  .....................\..........................\SearchNN_Buffer2.dll
  .....................\Prediction_RBF
  .....................\..............\LorenzData.dll
  .....................\..............\Main_RBF.m
  .....................\..............\Main_RBF_MultiStepPred.m
  .....................\..............\normalize_1.m
  .....................\..............\normalize_a.m
  .....................\..............\PhaSpaRecon.m
  .....................\Prediction_Volterra
  .....................\...................\LorenzData.dll
  ... ...