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sas01
关于sars的matlab源码，简介明了(The matlab source on sars, profile clear)
- 2011-04-21 13:55:03下载
- 积分：1
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the-damping-identification
结构动力学分析中，阻尼的几种识别方法，基于时域的参数识别,最小二乘法.....(Structural dynamics analysis, the damping of several methods of identification)
- 2013-05-25 16:15:29下载
- 积分：1
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matlab揭秘_郑碧波
说明： 对于matlab的讲述很全的一本书，编程讲的很好(This is a nice book the people who have probelems in matlab programing and learning)
- 2020-05-30 10:25:03下载
- 积分：1
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bpass_ado
This is a Stata program that filters time series data using an approximation to the
- 2010-03-04 17:04:33下载
- 积分：1
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simran
bit error rate versus capacity
- 2013-11-28 09:40:04下载
- 积分：1
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Matlab-Package-Sparse
这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book)
- 2013-05-17 17:11:27下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
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圆阵方位角俯仰角联合估计
说明： 均匀圆阵的方位角俯仰角联合估计，matlab源码(Joint estimation of azimuth and pitch angle of uniform circular array)
- 2021-04-18 21:48:51下载
- 积分：1
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Assignment2
Ordinary differential equation implementation
- 2014-09-11 00:12:34下载
- 积分：1
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jiaocuo2_10jie
在matlab环境下编写的关于地震勘探交错层理的速度正演(In the matlab environment. Write about seismic exploration cross-bedding speed forward)
- 2014-10-29 16:28:05下载
- 积分：1
