ZF-MMSEjunheng

This folder has two files for the simulation of dc motor braking. please run the *.m file to run the *.mdl file(This folder has two files for the simulation of dc motor braking. please run the*.m file to run the*.mdl file)

说明：  三自由度直升飞机最优控制的三轴控制和位置控制原程序(three helicopters freedom optimal control of a 3-axis control and location of the original control procedures)

列主元消去法，可以计算出LU矩阵和方程组的解，已经验证可以运行。(Main-element elimination method, LU matrix can be calculated and the equations, has been demonstrated to run.)

image warping source code, it has already be tested, it works well

本代码实现了SVM分类算法实现寻找最佳的c和g。(SVM Classification Algorithms to Find the Best C and G)

空间平滑算法估计相干信号DOA，还有基于此的改进算法，大家可尝试(DOA estimation)

强大的电力系统潮流计算，非常好用，算法稳定(power flow code, easy to use )

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

把运筹学中的各种算法如线性规划、最小树最短路径的算法用matlab来实现(some matlab program about oprational research,for example LP,min tree e.t.)

这是一个相关系数分析的算法代码，用matlab编写的(This is a correlation coefficient analysis of the algorithm code, prepared by matlab)