本程序利用蚂蚁算法解决TSP（旅行商问题）问题

经典的数据关联挖掘算法prefixspan-Classical data association mining algorithm PrefixSpan

petri网络的演示程序，本程序是计算机网络课程中涉及到的petri网络的演示，输入预先的转换规则，搜索可以击发的状态，设定次数进行状态转换-Petri Network Demonstration Program, the process is computer network courses related to the petri network demonstration, the importation of pre-conversion rules can search the state while working on the creation of a state for the number change

我们解决八数码问题,广度优先搜索可能会导致内存不够用,采用启发式搜索,启发函数为f(x)=g(x)+h(x) g(x)为该结点不同于目标结点的个数,h(x)为该结点的深度,选择那f(x)结点最小的那个结点进行扩展, 引入了一个"扩展数组[4]"(因为扩展的结点最多只有4个),该数组保存着某个结点的0点向各个方向的扩展的结点对象,然后对该扩展数组进行分析,利用启发函数在进行递归扩展... -us solve eight digital, BFS may lead to insufficient memory, using heuristic search, heuristic function f (x) = g (x) h (x) g (x) for the target node is different from the number of nodes, h (x) for the nodes of depth, the choice between f (x) nodes that the smallest node expansion. the introduction of an "expanded array [4]" (because the expansion of the nodes at most four), The array maintains a node of 0:00 a.m. to expand in all directions in the target node, and then expanded array analysis, use heuristic function during recursive expansion ...

使用神经网络的K算法来对数据进行分类，有具体的实验要求和图-K using the neural network algorithm to classify the data, there is a specific test requirements and plans

这是一个用MATLAB软件写的遗传算法程序。-This is a software written using MATLAB genetic algorithm procedure.

神经网络训练程序，用来进行RBF网络的权值训练，利用训练好的权值可以进行自适应滤波！-neural network training procedures used for RBF network weights training. good use of training weights can be adaptive filtering!

模糊K近邻分类器，模式识别和机器学习经常要使用的一个分类器-K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier

遗传算法的原代码，用于最优化计算，只需解压便可使用。-Genetic algorithm source code for the optimization calculation, just unzip to use.

Running this funciton each time to compute the LBP-TOP distribution of one video sequence. Reference: Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):915-928.-It is 3D LBP, which is publised in IEEE TPAMI, a top journal of computer vision and pattern recognition. After unzipping the package, you can find a project coded in C++. After complied it, you can use it directly. Some tested images are also attached in the package.

此为疾病诊断专家系统，用这种结构建立的知识库可以很方便地实现上面所提到的各种功能。这种结 构的最独特之处就是依靠相同的关键（疾病名或其代码）来实现一种疾病与其症候之 间的相互联系。疾病名与症候分别用二叉树进行排序。排序后可由疾病名而查到与该 疾病名有关的所有详细情况，也可由一种症候而查到哪些疾病有这种症候，以及该症 候可能引起各种疾病的概率。-This is the disease diagnosis expert system, using this structure to establish the knowledge base can easily realize the above mentioned features. The structure of the most unique is that relying on the same key (the disease or its code) to achieve a disease and its symptoms between. Name and symptoms of disease were treated with binary tree sort. Sort by the disease after the name of the disease were found with all the details of which can also be a symptom of the diseases that have found such a symptom, as well as the symptoms may lead to the probability of various diseases.