OPENCV系列的，TOOLBOX工具，应该挺有用的，大家自己看看吧！

我的八数码游戏！！ 学人工智能的编写的-my eight digital game! ! The study prepared by the Artificial Intelligence

ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis) -ClustanGraphics clustering analysis tools. Provides 11 kinds of clustering algorithms. Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean ProximityCentroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of SquaresFlexible (? space distortion parameter) Density (or k-linkage, density-seeking mode analysis)

利用竞争学习进行模式分类实例-using competitive learning example for pattern classification

基于遗传算法的人工生命模拟源程序!-based on genetic algorithm source artificial life simulation!

数据挖掘c45分类算法 数据挖掘c45分类算法-C45 data mining data mining classification algorithms C45 classification algorithm

利用遗传算法对图像进行分类处理，包括遗传的思想和实现，以及在图像方面的应用。-The use of genetic algorithm to classify the image processing, including genetic and realization of the idea, as well as the application of the image.

％ RBF 神经网络用于模式分类 ％ 使用平台 - Matlab6.5- RBF neural network for pattern classification use of the platform- Matlab6.5

利用C++语言实现的对运动手势进行识别的代码，请指教！-use C language to the movement of gestures identification code, please advise!

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

异步电动机的模糊控制的仿真,大家一起研究.-Fuzzy control induction motor simulation, we study together.