本程序是使用APRIORI算法搜索相关联的项目，在搜索前需要用户先对项目的个数和最低支持度进行设置，然后程序就会在指定的项目是找出满足最低支持度的相关联的频繁项...

介绍支持向量机工具箱的 使用-svn guide

Visual studio 2005,C#开发 具有人工智能，可采用人工下棋、电脑参谋、电脑下棋等模式参加互联网比赛。采用ClickOnce发 -Visual studio 2005, C# Development of artificial intelligence, to be used in artificial playing chess, computer staff, the computer model of chess and other games take part in the Internet. Using ClickOnce fat

VC写的harris角点检测程序。又名plessey，最经典也是目前效果最好的算法，比susan抗噪要好（实际的讲）-A program of Harris corner points test writen by VC.We can call is as plessey,it is the best algorithm.It better than susan from real useful point.

关于求最值的delphi遗传算法源码，绝对可以用，调试通过，界面美观，由王小平书上的c代码改编所成，创建了一个ga类，向构造函数输入合适的参数就可以运算！-seek the most value on the delphi genetic algorithm source code can definitely use, debug, beautiful interface, Wang Xiaoping book adaptation of the c code by 10%, creating a ga category Constructors input to the appropriate Operational parameters can!

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

完成基于遗传算法的图像模式识别功能流程描述-To complete the image based on genetic algorithms pattern recognition function of the process described

本文在学习探讨VSM算法的同时，对SVM在液压系统故障诊断中的应用进行了论述。以液压设备中常见的克令吊为研究对象，运用支持向量机理论对其进行故障诊断的仿真研究和实验研究，其中包括实验系统数学模型的设计、仿真模型的建立(用SIMUL工NK仿真软件建立仿真模型)、特征参数的提取、数据的采集等。-In this paper, VSM learning algorithm to explore the same time, SVM in the hydraulic system fault diagnosis are discussed. With hydraulic equipment in the common crane as the research object, using support vector machine theory of their fault diagnosis simulation and experimental studies, including a mathematical model experimental system design, simulation model (using SIMUL Engineering Simulation NK Software to build simulation models), the extraction of characteristic parameters, data collection and so on.

基于VC++的遗传算法源码（相当经典），非常可观-Based on VC++ Genetic algorithm source code (very classic), very impressive

MCP(最大截问题)的模拟退火算法程序源码-MCP (the largest cut-off issues) of the simulated annealing algorithm program source

详细介绍了SVM 和RVM的区别及各自的优点，说明RVM在很多方面优于SVM-Described in detail the difference between SVM and the RVM and their respective advantages, indicating RVM in many ways superior to SVM