基于粒子滤波原理，选取颜色特征对目标进行描述，实现视频目标的实时跟踪，效果较好。...

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!

用于m=2 的机器调度问题，可求出最优解与花费的时间-m = 2 for the machine scheduling problems, the optimal solution can be obtained with the time

一个A*算法的的实现过程的演示，是个非常清晰的能理解到A是怎么实现的-A* algorithm is a realization of the demonstration process, it is a very clear to understand how the realization of A

决策树 C45Rule-PANE算法 解决了决策的问题,是从QUILAN算法修改而成-Decision Tree C45Rule- PANE algorithm to solve the problem of decision-making, from QUILAN algorithm revisions

L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space.

8王后问题的演示程序,算法封装在类GAQueen，演示程序是界面程序-8 queen problem demo program, the algorithm is packaged in a category GAQueen, demo program is the interface procedures

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

神经网络C程序的第8章-neural network C procedures for the Chapter 8

微软的基于HMM的人脸识别原代码, 非常经典的说-Microsoft HMM-based Face Recognition source, said the very classic

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.