pso-programs

说明：  2BP神经网络的非线性系统建模-非线性函数拟合(bp neural networing)

Prewitt edge detection

edp文件里用到的封装函数，enfram函数。要想使用edp，需要下载此函数。(edp file used the package function, enfram, function. To use the edp will need to download this function.)

这是一个介绍MATLAB编程的文档，内容详细，循序渐进，讲解清楚，示例清晰。(This is an introduction of MATLAB Programming documentation, detailed, step by step, on a clear, clear examples.)

Simulation file in matlab simulink

matlab对aloha，s-aloha的仿真(matlab pairs of aloha, s-aloha Simulation)

图像引导滤波，实现平滑滤波，图像细节增强、去雾霾！！！(guided image filtering img_enhancement img_smoothing img_flash img_feathering)

一次可靠度的HLRF算法。随机向量的概率模型采用Nataf分布，考虑变量相关性。验算点搜寻采用U空间的梯度迭代算法。(This is a first-order reliability method based on HLRF algorithm. A multivariate distribution model,Nataf model,is used to generate the random variables. To search the design point in indenpent standard Gauss space, a kind of gradient iterative algorithm is adopted.)

说明：  夫琅禾费衍射传播代码，任意字符屏夫琅禾费衍射仿真程序(Fraunhofer diffraction propagation code, any character screen Fraunhofer diffraction simulation program)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)