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HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said

神经网络的源程序，一个比较新的算法，分类效果较好！-neural network source, a relatively new algorithm, better classification results!

GCP(图着色问题)的模拟退火算法应用源码-GCP (Graph Coloring Problem) application of the simulated annealing algorithm source code

用vc写的，同时有用bp算法和用rbf神经网络进行训练和识别的程序，可以看到两种不同方法得到的结果-vc used to write, while useful bp algorithm and the use of rbf neural network training and identification procedures, we can see the two different methods to obtain the result

自动地分类和聚集文档，可以选择作为一个Web服务。这个程序完全是用Java编写的，利用了 Weka机器学习工具包。-automatic classification and gathering documents, we can choose as a Web service. This procedure is completely written in Java, Weka use of machine learning kits.

一个很强的利用遗传算法实现的winform sudoku 游戏-a strong genetic algorithm to achieve the winform Sudoku game

基于人工神经网络的房地产项目评判模型，值得一看-based on artificial neural network evaluation model for real estate projects, an eye-catcher

模糊技术与神经网络技术选编-fuzzy and neural network technology Selected

1、编制程序显示印章图像（24位真彩色位图）； 2、读出位图中每一像素点的（R，G，B）样本值； 3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布； 4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分） 5、将分类后的结果标记到原始图像上，检查其效果。 -1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.

关于遗传算法的matlab 程序代码，或许对有些这方面的同仁有用-on Genetic Algorithms Matlab code, perhaps some of us in this regard useful