人工智能实验

SCE算法： 简单进化算法的matlab标准实现，内含3个m文件，英文说明。-SCE algorithm: a simple evolutionary algorithm matlab standards achieved, containing 3 m documents, the English description.

数据挖掘算法之一，基于代表点的CURE聚类算法，该算法先把每个数据点看成一类，然后合并距离最近的类，直至类个数为所要求的个数为止。-CURE cluster algorithm based on representive point,one of data mining algorithms,classifies each data as a category firstly, then unifies categories with the nearest distance into one until the number of class is coincidence with the classes demanded.

这是一篇关于pso利用的文章 也许对搞人工智能的的同学有很大的用处-This is an article on the PSO may use to engage students in artificial intelligence have great usefulness

John Wiley & Sons,.Fuzzy Engineering Expert Systems with Neural Network Applications.[2002.ISBN0471293318]

基本遗传学习分类系统，C++源代码-The basic classification system for genetic study, C++ Source code

BP神经网络解决异或问题-BP neural network or problems to solve differences

遗传算法工具箱及应用，包括了美国那个大学遗传工具箱的应用说明，很好用-Genetic algorithm toolbox and its application, including the United States that the University of the genetic toolbox of application notes, very good use

遗传算法的全部代码！c编程源码，有readme 和可执性文件！-all the genetic algorithm code! C programming source, and they readme document!

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

非常好的机器人足球比赛平台，有详细的应用说明-Very good platform for robot soccer matches, a detailed application notes