reliefF

说明：  matlab编写的小波变换程序，有很多实例，是《Matlab小波分析》（张德丰）教程的源程序，很适合学习使用。(matlab wavelet transform procedures for the preparation, there are many examples is &quot Matlab Wavelet Analysis&quot (Zhang Defeng) tutorial source code, it is suitable for learning to use.)

this is a pi controler for smpm please try t

经典数据挖掘的MATLAB代码，非常全面！非常好用，欢迎大家下载使用~(Mining in the classical algorithm of MATLAB code is very comprehensive! Very easy to use, welcome to download ~)

本程序是多输入多输出系统辨识的MATLAB源程序，可以用来学习或者研究(This program is a multi-input multi-output system identification MATLAB source, can be used to learn or study)

This matlab algorithm generates Pictures in order to test your bayer matrix coder.

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 )

compute a ROC curve hope you will like it

说明：  用于各种分类的支持向量机matlab程序，可自定训练集和验证集数量(lib-SVM matlab program)

信号与系统中用matlab实现计算及simulink建模(Signals and Systems with MATLAB Computing and Simulink Modeling)

说明：  趋势EA，不加仓，不网格，每单都带止损止盈，加载周期30分(Trend EA, no warehousing, no grid, stop-loss and stop-profit for each single, loading cycle 30)