youxianyuan

应用BP神经网络对图片进行数字识别，设计GUI界面，操作简单。(BP neural network for digital identification, GUI interface design, simple operation.)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

preisach模型磁滞回线，不同N可以调整模型精度。(preisach hysteresis loop model, you can adjust the different N model accuracy.)

这是一款实现是在vs2005编程过程中，如何调用matlab7的代码的软件，着实可用(This is a realization in vs2005 programming process, how to call matlab7 code of the software is, indeed, can be used)

JE SS PAS BIEN SUR CE QUE JE DIT EN FIN C4ETS CA

图像处理与分析——偏微分方程方法，热方程去噪模型的演示代码。(Image processing and analysis- method of partial differential equations, heat equation denoising model demo code.)

根据已经给定的数组，按要求绘制直方图的形状(code)

一个在MATLAB中实现的UKF算法用于目标追踪(tracking the target by UKF algorithm)

很好最优控制软件，配点法详细程序,需要仔细琢磨(A good way to learn Collocation in Optimal control)

在Matlab simulink环境下编写的在滑模控制模型的四分之一车模型。 经仿真效果很好(In Matlab simulink environment written in the quarter-car model sliding mode control model. The simulation works well)