用BP神经网络解决分类问题的MATLAB实现

对原始图像在水平方向和垂直方向与2个滤波器(低通、高通)相卷积，可以得到4块面积为原图像1/4的子图，分别为水平方向低频和垂直方向低频(HH)、水平方向低频和垂直方向高频(HG)、水平方向高频和垂直方向低频(GH)、水平方向高频和垂直方向高频(GG)。(The original image in the horizontal direction and vertical direction and two filters (low pass, high pass) with convolution, you can get the original image area of 4 1/4 graph, respectively, horizontal and vertical direction low frequency ( HH), horizontal and vertical high-frequency low-frequency (HG), horizontal and vertical high-frequency low-frequency (GH), horizontal and vertical high-frequency high-frequency (GG).)

Matlab source code for EESAA research paper.

这是利用matlab进行数字图像处理的入门教程，非常管用。(This is the use of matlab digital image processing of how-to tutorials, very useful.)

说明：  复杂网络中的GN算法...............(Complex network of GN algorithm ...............)

Digital image processing using matlab - Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins - 0130085197(Digital image processing using matlab- Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins- 0130085197)

利用matlab编程实现的图像测量工具箱 对于理解和学习 matlab图像处理有很大帮助(Programming using matlab image measurement toolkit for understanding and learning matlab image processing helps a lot)

matlab软件编程实现ICI自消除中峰值变化。(matlab software programming ICI to self eliminate the peak changes.)

AES-128, AES-192, and AES-256 加密与解密。Matlab源程序。( AES-128, AES-192, and AES-256 encryption/decription functions.)

遗传算法和粒子群算法，应用于优化据数据集的聚类中心，结合FCM算法应用聚类分析的几篇文献。(Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set)

【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)