A

microstrip antenna fdtd code in matlab for antenna in 3D

资料包括PSO，PSO-PID,PSO-AM,PSO-BP,FOA.通过粒子群能够很好的解决优化问题，对于学习PSO的初学者有很大的帮助，另外提供一个果蝇算法，望比对学习。(Data including PSO and PSO- PID, PSO- AM, PSO and BP, FOA.)

好几种忙多用户算法的程序，已运行过，大家可以(Several busy multi-user algorithm procedures, has been in operation, the U.S. can)

随机子空间法用于模态参数识别 能够识别频率阻尼(Stochastic subspace method for modal parameter identification )

myfunction函数介绍两个数的相加得到最后结果，以方便其它数的相加的使用。(myfunction function describes the sum of two numbers to get the final results, to facilitate the use of the sum of other numbers.)

对时间序列或者信号进行fft谱分析，可以打开任意数据文件后分析，很方便使用。(FFT transfer of matlab code,it is useful for signal analysis.)

说明：  this is 13 node distribution network with DGs and relays.

本上传资料为maatlab教程，可通过此教程学习matlab，涉及面广。(The upload information to maatlab tutorials, available through this tutorial to learn matlab, involving a wide range.)

Particle Swarm Optimization matlab code

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))