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PSNRaNC
说明： 求两幅图像的峰值信噪比PSNR值和归一化相关系数NC值(Find two images PSNR PSNR values and the normalized correlation value NC)
- 2011-04-07 10:32:31下载
- 积分：1
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FCBF
这是FCBF的matlab程序。FCBF是比较实用的特征选择和降维的方法。在这个文件里面，有个word文件详细说明了FCBF的使用方法。本站只有FCBF的java程序。(This is a matlab program of FCBF. FCBF is a more practical method of feature selection and dimensionality reduction. Within the file, a word file detailed deccribed the usage of FCBF. However, the home station only has a java program.)
- 2020-06-29 07:00:02下载
- 积分：1
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ToqurVibratory
22自由度齿轮动力学计算，利用ode45(22 DOF Gear Dynamics Calculation, Using ode45)
- 2021-01-25 10:28:38下载
- 积分：1
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mex_test
test file for interface between matlab mex functionality and C, from matlab file exchange
- 2011-02-02 00:44:19下载
- 积分：1
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Root-MUSIC
用root-music算法对波达方向（DOA）信号进行DOA估计的matlab程序。(With root-music algorithm for DOA (DOA) signal DOA estimation matlab program.)
- 2021-01-17 11:08:49下载
- 积分：1
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SVM-KM
基于核分析的多类分类器，支持向量机的多类分类，适合研究学习，欢迎同行下载(Kernel-based analysis of the many types of classifier, support vector machine multi-category classification, suitable for study of learning, welcomed the peer download)
- 2007-12-07 11:05:57下载
- 积分：1
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one-layer
MLP neural network with matlab
- 2011-05-21 19:10:01下载
- 积分：1
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FileNum
检查文件夹中有多少个文件，以及调用相应的文件(check how many files in the directory)
- 2013-04-08 14:26:40下载
- 积分：1
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2008
是国外著名专家mahafza的书的代码，主要用于雷达设计和优化(Is a famous expert mahafza book code, mainly for radar design and optimization)
- 2015-01-20 15:17:36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
