实现了图的搜索算法，包括深度优先搜索，广度优先搜索，Dijstra算法，A*算法等较典型的搜索算法，同时可以进行图的输入和编辑等操作，仅供大家参考。...

A星算法实现最短路径的选择,使用方便，功能完善，是学习人工智能作业中必须完成的一步。-Choose the shortest path by the method of AStar

兔子狐狸生态平衡模拟器，可以模拟兔子狐狸相互依存的状况。-The zoology balance simulator of rabbit and fox ,which can simulate the status of rabbit and fox depended on each other.

用VISUAL C＋＋编程实现指纹图像的特征提取以及对指纹图像的识别-Utilising VISUAL C++ to make programs, we can get the characters of image and identify the image of finger mark

粒子群算法，希望对大家有用，粒子群算法粒子群算法-PSO, a member of the useful, PSO PSO

基于隐马尔可夫模型的人脸识别源代码,是作模式识别的最好学习代码-Hidden Markov Model-based face recognition source code for pattern recognition is the best learning code

介绍 ROBOCUP 3D SERVER的一些资料，网少比较少的，有兴趣的朋友可以研究看看。-ROBOCUP 3D SERVER introduce some of the information, the relatively small network of small, interested to see if a friend can be studied.

有关神经网络的源码-the neural network source

一个非常好的，用于训练样本图像的代码。 一定可以运行。-A very good image for the training sample code. Will be able to run.

多重网格法在step形状区域上的实现,三种不同光滑步可以实现.-Multi-Grid Method in the step shape of the region on the realization of three different smoothing step can be achieved.

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot