有关优化的遗传算法

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

运用遗传算法进行聚类分析，对基金的风格进行分类-The use of cluster analysis of genetic algorithm to classify the style of fund

这个是遗传算法的PPT讲义 很有帮助 大家可以看看 -This is a genetic algorithm PPT helpful lectures we will look at the

用9*9的矩阵显示字符0~9。 对BP网络进行训练后，可以识别带有一定噪声的字符。-Neural Nerwork。

遗传算法演示程序-GA Demonstration Program

神经网络与免疫算法的结合，用matlab编程实现小功能-Neural network with a combination of immune algorithm with a small functional programming matlab

bayes network classifier toolbox 贝叶斯网络分类工具箱-bayes network toolbox Bayesian classifier network classifier Toolbox

神经网络的源代码，关于字符识别的一些东西-Neural network source code, something about character recognition

很好用的一个适用程序，由Visual C＋＋编程，有收藏价值-A very good application of the procedures used by Visual C programming, have value for collection

基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared