capture_interface

face detection system,for matlab simulink neural network

实时显示系统时间 matlab timer例子(Real-time display system)

MATLAB粗糙集属性约简库（内含实例，原创） 函数M文件： TargetOptFcn.m ------------ 遗传算法的目标函数 PositiveRegion.m --------- 计算正域 LowerApproximation.m ------ 计算下近似 IsSub.m ------------------- 判断集合A是否是集合B的子集 EquivalentClassSet.m ----- 基于R分类的所有等价类的集合，即U/R EleEquivalentSet.m ------- 计算包含某元素的一个分类 DependencyDegree.m -------- 计算依赖度 (MATLAB rough set attribute reduction library (including examples, original) The function M file: TargetOptFcn.m---------------- The objective function of genetic algorithm PositiveRegion.m-------------- Computing positive region LowerApproximation.m---------- Calculation of approximation IsSub.m----------------------- Judgment if set A is a subset of the set B EquivalentClassSet.m---------- A collection of all the equivalence classes based on R classification, U/R EleEquivalentSet.m------------ Calculation contains an assortment of an element DependencyDegree.m------------ Dependence computation)

其实popupwindow用起来比Dialog 方便，因为dialog一切都需要你自己来实现，而popupwindow帮我们实现了很多，我认为在使用的时候关键我们要看清参数： popupWindow.showAtLocation(parent, gravity, x, y) parent这个是一个父view试图， gravity 这个默认是居中，我们要指定显示方式：Gravity.LEFT | Gravity.TOP 最后两个参数就是显示的坐标位置，这样就可以根据需求自己定位显示位置了

This code will find the best neural network by training a lot of times and calculating the MSE

说明：  利用Matlab，建立了PFC电路的精确仿真模型，没有斜坡补偿。(matlab,PFC simulation)

给定一个样本集exset，样本数为M，每个样本点是N维向量，对于给定目标点d，d也为N维向量，要从exset中找出与d距离最近的k个点(k<=N)(knn code c++)

说明：  Matlab数值计算，回归分析，多元线性回归，Matlab统计工具箱的使用(Matlab numerical calculation, regression analysis, multivariate linear regression, statistical Matlab Toolbox use)

ABS轮速计算模块，simulink，自己编的，希望对大家有用(ABS wheelspeed simulink)

NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. (NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. )