BP algorithm differences or problems, use of the S

利用OPenCV写的一个hough变换检测直线的程序-OPenCV written using a hough transform line detection procedure

模式识别中关于C均值的聚类算法的程序,输入点进行聚类.-pattern recognition on the C-means clustering algorithm procedures input cluster.

这是一个的遗传算法程序,开发平台是vc7.0-This is a genetic algorithm process, the development platform is vc7.0

神经网络 教程初级 比较简单 全面 程序设计-Neural network tutorial relatively simple primary comprehensive program design

提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated

神经网络c++源程序.rar-neural network source. Rar

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.

蚁群算法的C++实现,让读者更清晰的了解蚁群算法的完整思路-Ant colony algorithm C++ Realize, to give readers a clearer picture of the integrity of the idea of ant colony algorithm

BP神经网络的设计前向型神经网络的实例，基于Matlab环境。-BP neural network design to the examples of neural network, based on the Matlab environment.

采用遗传模拟退火的方法解决TSP问题，界面友好，程序运算效果很好-genetic simulated annealing method to solve the TSP, friendly interface and operation procedures with good results