a user

蚁群算法的演示程序，很形象的说明的蚁群群体合作的智能性，很好的诠释了蚁群算法的精髓-Ant colony algorithm demo program, it is the image of the ant colony that cooperation between the intelligence groups, very good interpretation of the essence of the ant colony algorithm

我根据书上算法自编的蚁群程序，也是我的中期筛选设计。目录下函数收敛图是用了VC的结果，在matlab里画的-algorithm based on the book written by Ant procedures, and also my mid-screening design. Directory function convergence plan is the result of the VC in Matlab Lane painting

混合智能算法，采用visual c++语言编写，注释完整，清晰易懂-Hybrid Intelligent Algorithm

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.-particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.

模式识别中人脸的检测与定位所包含的算法程序(facedetect)-pattern recognition of the human face detection and location included in the algorithm (facedetect)

采用MFC技术，实现蚁群算法和遗传算法，形象化了算法实现的过程，有助于我们的学习和理解。-Use of MFC technology to realize ant colony algorithm and genetic algorithm, visualization of the algorithm implementation process, contribute to our learning and understanding.

hmm算法 包括前后向算法、viterbi算法、bw算法等另外包括内存申请等源代码-algorithm to include before and after algorithm, Viterbi algorithm, bw algorithm other memory applications including source code

计算机网络经典算法：生产者与消费者问题的源代码-classic algorithm of computer network:producer and consumer

K-mean算法实现程序-K-mean algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

这是一个模式识别中的parzen窗的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model has very big help.