numericalanalysis_matlabcode

迭代法（单点迭代法）Matlab编程实现(terative method (single iteration) Matlab Programming )

最优潮流的简化梯度法，可以用来解决王锡凡《现代电力系统分析》书中的问题。(Reduced gradient optimal power flow, can be used to solve the problem of Wang Xifan analysis of modern power system in the book. )

对量化厚度字母 T L 进行识别，bp三层神经网络，原创(To quantify the thickness T L identification, three layer bp neural network, the original)

The function generates CA codes for all 32 satellites based on the settings

说明：  BPSK系统仿真，调制解调后的误码率图像(BPSK System)

matlab的运动目标分割 车辆检测 平均建模背景差分(Moving object segmentation matlab Vehicle Detection average difference modeling background)

pca算法的matlab程序，能够运行，方便修改。(Pca algorithm in matlab, and convenient operation can be modified.)

利用数值迭代技术计算GPS数据转换，该方法修正了计算的海拔高度溢出的问题。(Calculated using numerical iterative technique GPS data conversion, correction of the method to calculate the altitude of the overflow problem.)

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 .)

说明：  针对电路故障的诊断提出了一种基于遗传算法的方法，将遗传算法与MATLAB结合实现了电路故障诊断。(For the proposed circuit fault diagnosis method based on genetic algorithm, genetic algorithm combined with the MATLAB implementation of the circuit fault diagnosis.)