用相空间局部投影法对加噪混沌时间序列去噪或进行混沌序列与正弦信号的分离。-phase space with local law to increase the projector noise chaotic time series denoising or chaotic sequence with sinusoidal signal separation. Update : 2008-10-13
Size : 1.32kb
Publisher : friee
混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序-Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure Update : 2008-10-13
Size : 214.34kb
Publisher : gxsh
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 accuracy and better noise immunity Update : 2008-10-13
Size : 222.58kb
Publisher : 蔡烽
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 reported .2000.03 Update : 2008-10-13
Size : 8.59kb
Publisher : 江维
利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay Update : 2008-10-13
Size : 16.13kb
Publisher : 胡维刚
基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab Update : 2008-10-13
Size : 45.92kb
Publisher : 胡维刚
基于Volterra滤波器混沌时间序列多步预测
作者:陆振波,海军工程大学
欢迎同行来信交流与合作,更多文章与程序下载请访问我的个人主页
电子邮件:luzhenbo@sina.com
个人主页:luzhenbo.88uu.com.cn
参考文献:
1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03
2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994
文件说明:
1、original_MultiStepPred_main.m 程序主文件,直接运行此文件即可
2、original_train.m 训练函数
3、original_test.m 测试函数
4、LorenzData.dll 产生Lorenz离散序列
5、normalize_1.m 归一化
6、PhaSpaRecon.m 相空间重构
7、PhaSpa2VoltCoef.dll 构造 Volterra 自适应 FIR 滤波器的输入信号矢量 Un
8、TrainTestSample_2.m 将特征矩阵前 train_num 个为训练样本,其余为测试样本
9、FIR_NLMS.dll NLMS自适应算法-based Volterra filters chaotic time series multi-step forecast Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com WEBSITE : luzhenbo.88uu.com.cn References : 1, and Zhang Shu. the chaotic time series Volterra adaptive prediction. physics reported .2000.03 2, Scott C. Douglas, H.-Y. Teresa Meng, Normalized Data for LMS Adaptation Nonlinearities. IEEE Trans.Sign.Proc . Timing 1994 document : 1, original_MultiStepPred_main.m procedures master file directly run this document can be 2, 3 original_train.m training function, the function tests original_test.m 4, LorenzData.dll have Lorenz five discrete sequence, a normalize_1.m naturalization of six, PhaSpaRecon.m Update : 2008-10-13
Size : 11.57kb
Publisher : 陆振波
用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-achieved using Matlab using statistical methods to solve nonlinear chaotic time series forecasting system problems Update : 2008-10-13
Size : 26.5kb
Publisher : mtaotao
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-using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice Update : 2008-10-13
Size : 1.2kb
Publisher : sunyan
混沌时间序列分析与应用,经典入门与提高教程-chaotic time series analysis and application, portal and improve the classic Guide Update : 2008-10-13
Size : 5.33mb
Publisher : 魏方