Description: * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information.
* extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.
* sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries.
* ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module.
?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module.
?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module. Platform: |
Size: 10081 |
Author:陈延军 |
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Description: 基于均值生成函数时间序列预测算法程序
1. predict_fun.m为主程序
2. timeseries.m和 seriesexpan.m为调用的子程序
-function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for the subprogram Platform: |
Size: 1024 |
Author:helen14 |
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Description: 用小波神经网络来对时间序列进行预测，其中有四个m文件-wavelet neural network to forecast the time series, which document 4 m Platform: |
Size: 4096 |
Author:stefwing |
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Description: * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information.
* extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.
* sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries.
* ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module.
?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module.
?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module. Platform: |
Size: 10240 |
Author:陈延军 |
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Description: 对平稳时间序列中的参数估计方法（包括矩估计，极大似然估计）和预测方法（包括差分方程预测方法，逆函数预测方法，格林函数预测方法）应用matlab进行编程，大家可以方便使用-For stationary time series in the parameter estimation methods (including moment estimation, maximum likelihood estimation) and forecasting methods (including the difference equation forecasting methods, inverse function of forecasting methods, Green s function prediction method) Application matlab program, we can easily use Platform: |
Size: 9216 |
Author:黄飞鸿 |
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Description: 相当好的一本工具书，《MATLAB在时间序列分析中的应用》，该书大概讲解了时间序列的一些理论方法，偏重工程实现，是运用时间序列进行实际工程分析必备的参考书。已查pudn无此书。-A very good tool for a book, " MATLAB in time series analysis," the book about some of the time series explained the theory, some emphasis on project implementation, is to use time series of practical engineering analysis necessary reference books. pudn has no this book. Platform: |
Size: 6939648 |
Author:朱凤宇 |
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Description: 时间序列建模的MATLAB实现，简单易懂，很好的一份资料，希望大家喜欢.-Time series modeling MATLAB implementation, easy to understand, a good piece of information, I hope everyone likes. Platform: |
Size: 498688 |
Author:lkp |
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Description: 神经网络小波变换的MATLAB编程，用于实现其二维图像的小波变换处理-Neural network wavelet transform MATLAB programming for the realization of the two-dimensional image of the wavelet transform Platform: |
Size: 4096 |
Author:琦 |
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Description: 关于小波神经网络的matlab 源程序，对于考虑利用小波神经网络进行预测的，可以考虑一下。(.Wavelet neural network on the matlab source code, for considering the use of wavelet neural network prediction, you can consider.) Platform: |
Size: 4096 |
Author:小小先生
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Search - matlab timeseries