遗传算法的VS2003工程，调试通过,An Introduction to Genetic Algorithms for Scientists and Engi...

一个模糊的YBP训练程序，初学者应该从入门开始学习

由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the "k-means clustering algorithm" mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.

这是一个很好的关于BP神经网络的程序,用于两类数据的分类.-This is a very good network of BP procedures for the two types of data classification.

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad

很好的神经网络教程，里面包含源代码，可以进行相关的修改!-Good neural network tutorial, which contains the source code, can be related to changes!

支持向量机源码，vc编写，对于svm初学者非常使用非常方便-The coad of svm,base on vc,and it is useful to beginner.

基于遗传神经网络的图像分割系统源代码，下载后直接使用-Based on genetic neural network image segmentation system source code, download direct use of

很好的分类程序。。。。C++语言编写。。。VC开发环境-good classification procedure. . . . C language. . . VC development environment.

微粒群算法与其它进化类算法相类似，也采用“群体”与“进化”的概念，同样也是依据个体（微粒）的适应值大小进行操作。所不同的是，微粒群算法不像其它进化算法那样对于个体使用进化算子，而是将每个个体看作是在n维搜索空间中的一个没有重量和体积的微粒，并在搜索空间中以一定的速度飞行。-Particle swarm optimization algorithm with other similar type of evolution, but also the use of " groups" and " evolution" concept is also based on the individual (particle) size of the operation of fitness. The difference is that unlike other particle swarm optimization evolutionary algorithm as the use of evolution for the individual operator, but as each individual in the n-dimensional search space of a weight and size of the particles, and in the search space the speed of a certain flight.

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。-Principle-based particle filter, select the color characteristics of the target description, realize the goal of real-time video tracking, better.