模型预测控制及其MATLAB实现

2013 matlab basepaper

MATLAB 电机仿真教程，非常详细的仿真，希望对大家有帮助。(MATLAB motor simulation tutorial, a very detailed simulation, we want to help.)

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 )

说明：  通过灰色关联分析理论，得到灰色关联度，直接输入数据即可得到结果。(Calculation of correlation degree by grey correlation analysis)

宽带波束形成，有点小问题，欢迎大家批评指正(broadband beamforming, a little, and welcomes your comments and corrections)

这是一个方便的计算FFT的程序带坐标的fft变换(It s a program for fftrl,)

matlab自学通，自己学习matlab的好资料。帮助您一步一步深入matlab的知识世界里(matlab ，it can revolosion the problem about chath the rightes answer .)

code for eye tracking matlab

ＴＥ波和TM波照射到二维导体柱上带你电流分布，各个方向的RCS以及总的ＲＣＳ随导体尺寸的变化(TE wave and TM wave illumination column take you to the two-dimensional conductor current distribution, in all directions of the RCS and the RCS with the total change of conductor size)

matlab 编写的微分进化算法，供大家学习参考(matlab write differential evolutionary algorithm for everyone to learn information)