SV8-Demo

matlab程序实现各种智能算法，包括遗传算法、神经网络等(matlab program to achieve a variety of intelligent algorithms, including genetic algorithms, neural networks, etc.)

基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。(Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.)

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))

空时编码多发单收程序源文件，可以供初学者学习交流使用(Space-time coding with multiple single-income program source files, can be used for beginners to learn to share their)

control of motor in matlab simulink

说明：  MOPSO多目标粒子群优化算法MATLAB实现（可直接运行）(MOPSO multi-objective particle swarm optimization algorithm MATLAB (can be directly run))

基于分数傅里叶变换的彩色图像加密算法，主要用于数字图像的加密中。(Based on the fractional Fourier transform for color image encryption algorithm, mainly used in digital image encryption.)

this is my first code in matalab that i have uploaded

这是用matlab实现的无约束优化方法 牛顿法 的程序(Unconstrained optimization method Newton method )

Horn_Schunck_Optical_Flow_Method，值得学习(Horn_Schunck_Optical_Flow_Method, worth learning)