Search - Adaptive prediction

Search - Adaptive prediction - List

[CSharp] ConsoleMatrix DL : 0: 自适应灰色预测模型利用C#程序编制很有用的-adaptive prediction model using C# programming very useful
Update : 2008-10-13 Size : 12.98kb Publisher : 梁藉
[Other resource] Volterraprediction DL : 0: 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
[Other resource] Chaaddred DL : 0: LMS自适应算法自适应预测的计算机实验matlab仿真例子-LMS adaptive prediction algorithm for the adaptive computer simulation experiments Matlab example
Update : 2008-10-13 Size : 4.57kb Publisher : jim4042
[Other resource] Volterra_luzhenbo DL : 0: Volterra自适应预测的 matlab 程序,用于自适应预测测试和混沌序列的相空间重构（转）-Volterra adaptive prediction Matlab procedures for testing and adaptive prediction chaotic sequence of phase space Reconstruction (switch)
Update : 2008-10-13 Size : 211.88kb Publisher : 高飞
[Other resource] Volterra_MultiStepPred_luzhenbo DL : 1: 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
[Other] nlms DL : 0: 一种窄带干扰抑制的非线性自适应预测滤波算法！-a narrowband interference suppression filter nonlinear adaptive prediction algorithm!
Update : 2008-10-13 Size : 1.32kb Publisher : 高丽
[Other] nlms DL : 0: 一种窄带干扰抑制的非线性自适应预测滤波算法！-a narrowband interference suppression filter nonlinear adaptive prediction algorithm!
Update : 2025-04-26 Size : 1kb Publisher : 高丽
[CSharp] ConsoleMatrix DL : 0: 自适应灰色预测模型利用C#程序编制很有用的-adaptive prediction model using C# programming very useful
Update : 2025-04-26 Size : 70kb Publisher : 梁藉
[AI-NN-PR] Volterraprediction DL : 1: 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 : 2025-04-26 Size : 8kb Publisher : 江维
[matlab] Chaaddred DL : 0: LMS自适应算法自适应预测的计算机实验matlab仿真例子-LMS adaptive prediction algorithm for the adaptive computer simulation experiments Matlab example
Update : 2025-04-26 Size : 4kb Publisher :
[AI-NN-PR] Volterra_luzhenbo DL : 0: Volterra自适应预测的 matlab 程序,用于自适应预测测试和混沌序列的相空间重构（转）-Volterra adaptive prediction Matlab procedures for testing and adaptive prediction chaotic sequence of phase space Reconstruction (switch)
Update : 2025-04-26 Size : 212kb Publisher : 高飞
[matlab] Volterra_MultiStepPred_luzhenbo DL : 0: 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 : 2025-04-26 Size : 11kb Publisher : 陆振波
[Graph program] a009 DL : 0: 利用线性神经网络进行自适应预测利用函数adapt对线性网络进行自适应训练，在线修正网络的权值和阈值，这样对于时变信号，网络就可以及时跟踪其变化，即可对时变信号序列进行预测。 -linear adaptive neural network prediction using linear function adapt to the network adaptive training , the online network that the weights and thresholds, so for the time-varying signal, the network can track changes in a timely manner. will be the time-varying signal sequence forecast.
Update : 2025-04-26 Size : 3kb Publisher : mamin
[matlab] LMS DL : 0: 自适应信号处理方面的LMS自适应线性预测算法-Adaptive signal processing for LMS adaptive linear prediction algorithm
Update : 2025-04-26 Size : 3kb Publisher : 刘开
[Software Engineering] Artificial_Neural_Networks DL : 0: 一种基于人工神经网络在线学习的自适应预测方法-Based on artificial neural network online learning adaptive prediction method
Update : 2025-04-26 Size : 29kb Publisher : 钱斌
[DSP program] zshylbw DL : 0: 利用adapt函数对自适应滤波网络对时变正弦信号进行自适应预测。-Adapt the use of adaptive filtering function network for time-varying sinusoidal signal adaptive prediction.
Update : 2025-04-26 Size : 1kb Publisher : qiulan
[Speech/Voice recognition/combine] LMSAdaptiveLinearPrediction DL : 0: Source Code for LMS adaptive prediction test
Update : 2025-04-26 Size : 115kb Publisher : tiger
[AI-NN-PR] TimeSeriesPredictionUsingSupportVectorRegressionNe DL : 0: 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值，白适应地生成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权主。 SVR—NN有很好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的理论和应用价值。-Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately predict chaotic time series，and it iS valuable in both theory and application aspects．
Update : 2025-04-26 Size : 309kb Publisher : 11
[matlab] Adaptive-MMSE-filter DL : 0: 数字信号处理一阶自适应最小均方误差预测滤波器-Digital signal processing first-order adaptive minimum mean square error of prediction filter
Update : 2025-04-26 Size : 62kb Publisher : flowers
[Other] adaptive filter (2) DL : 0: MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
Update : 2025-04-26 Size : 172kb Publisher : MHQ

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