MatLab-Programming

实现对欧洲足球冠军联赛16强抽签的仿真，球队采用本赛季产生的16支球队。(Implementation of European football simulation, 16 of the champions league draw teams using the 16 teams this season.)

说明：  基于Matlab神经网络工具箱的电弧焊工艺参数优化(Based on Matlab neural network toolbox of electric arc welding process parameters optimization)

THIKAT algorithm descriptor

sunjun编写的量子粒子群算法，MATLAB程序，简单易懂，注释清晰。(QPSO.m coded by Sun Jun, a efficient and effective algorithm, also a Swarm-Intelligent algorithm.)

费歇尔准则要求类间均值差异最大而类内的离差平方和最小。(Fischer guidelines require the mean difference between the class and the maximum and minimum sum of squares within the class.)

网络化控制系统的切换系统的非稳定性与稳定性的仿真分析(switched system stability)

lms算法的MATLAB的仿真程序，是主要的程序(lms algorithm procedure)

step pid with avr mikrokontroller

一个vf控制器，利用直流电源做电源，希望能有帮助。(A vf controller, using a DC power supply to do, hoping to be helpful.)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))