OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！

MCRGSA------组播路由问题遗传模拟退火算法 ％M-----------遗传算法进化代数 ％N-----------种群规模，取偶数 ％Pm----------变异概率调节参数 ％K-----------同一温度下状态跳转次数 ％t0----------初始温度 ％alpha-------降温系数 ％beta--------浓度均衡系数 ％ROUTES------备选路径集 ％Num---------到各节点的备选路径数目 ％Cost--------费用邻接矩阵 ％Source------源节点标号 ％End---------目的节点标号组成的向量 ％MBR---------各代最优路径编码-MCRGSA------ Multicast Routing genetic simulated annealing% M----------- genetic algorithm algebra% N----------- population size, even take Pm----------% probability parameter variation%----------- same temperature K Jump under a number of state----------% t0 initial temperature cooling% alpha------- beta coefficient%-------- balanced concentration coefficient% ROUTES------ Alternative Path Set% Enable--------- nodes to the number of alternative paths%-------- Cost adjacent costs Matrix% Source------ source node labeling% End--------- destination node labeling Group Vector%% of the MBR--------- generations optimal path coding

PCA codes for face detection

采用蚁群算法解决旅行商问题，IDL语言编写，动态现实中间过程。-Using ant colony algorithm to solve traveling salesman problem, IDL language, dynamic realities of the middle of the process.

小波十讲(中文版),这是个很好的讲义，希望对你有帮助-Ten Lectures on Wavelets (Chinese version), which is a very good lecture notes, want to help you

利用双层感知器神经网络处理线性不可分的分类问题-use double perceptron neural networks to handle non-linear classification

BP神经网络VC类，此类对BP神经网络进行了封装，整个类是基于动态构建，可以适合于任何采用BP神经网络的模式识别应用。-BP neural network VC categories, such BP neural network to a package, the whole category is based on dynamic construction, and is suitable for use in any BP neural network applications of pattern recognition.

野人与传教士问题的求解程序，对N=3，K=2给出正确路径-Savage with the missionary problem solving procedures, N = 3, K = 2 are given the correct path

bp网络代码 VC编写，BP算法的过程及注释说明-bp code VC network to prepare, BP algorithm for the process and Notes

免疫算法求解函数优化问题运行时请选择所要的函数,并且点Button1执行-immune function algorithm optimization runtime please select the function and implementation point Button1

CMU的自主机器人的软件开发平台, 应用十分广泛, 基本上已经成为一种近似标准, 比较好用, 希望对开发机器人导航算法方面的人有用 -CMU autonomous robot software development platform for a wide range of applications, they have basically become a kind of similar to the standard, more useful, in the hope that the development of robot navigation algorithm useful side