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DSDP5.8WIN
半定规划，属于凸优化的一种，matlab 实现的源码，适合学习
Semidefinite Programming(Semidefinite programming, belonging to a convex optimization, matlab source realization, suitable for study Semidefinite Programming)
- 2007-11-15 02:41:47下载
- 积分：1
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sima1
霍普菲尔德网络的一个例子，matlab程序(An example of Hopfield network, matlab program)
- 2008-01-06 16:14:24下载
- 积分：1
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Image-processing
基于matlab的图像采集与处理系统源码。利用MATLAB软件做出一个可操作的图形化界面，该界面能实现对图像的实时采集、后续图像的处理、图像的保存，帮助使用者对实验现象进行实时采集分析。(Matlab-based image acquisition and processing system source code. Using MATLAB software to make a workable graphical interface that enables real-time image acquisition, preservation subsequent image processing, image, and help users to perform real-time acquisition and analysis experimental phenomena.)
- 2014-11-19 23:38:52下载
- 积分：1
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sagnac
基于保偏光纤的Sagnac环透射谱仿真程序，可以用于计算自由光谱范围等(Based on the transmission spectrum of polarization-maintaining fiber Sagnac loop simulation program, and can be used to calculate the free spectral range and so on)
- 2021-03-17 10:29:21下载
- 积分：1
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State_MPC
说明： 构建状态空间模型，运用模型预测控制控制追踪，适用于初学者(Construct a state space model, use model predictive control to control tracking, suitable for beginners)
- 2020-07-31 15:58:37下载
- 积分：1
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cluster-analysis
对大量的数据通过合理的方法按照一定的特性进行合理的分类，只需要输入原数据文件即可。(cluster analysis)
- 2014-09-02 19:54:16下载
- 积分：1
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97847556interleaver
program about ofdm for transmitter and receiver signal run using matlab
- 2014-02-19 18:40:48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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matlabfunction
matlab图形处理函数
matlab图形处理(matlab graphics processing function matlab graphics)
- 2008-01-04 23:22:26下载
- 积分：1
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Tap-46
Pedagogy Pedagogy Pedagogy
- 2011-04-21 01:38:15下载
- 积分：1
