模式识别二维链表实现isodata算法 早期试验，界面没有优化

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

小生境遗传优化源程序 具有非线性优化问题的解释-Niche Genetic optimization of source non-linear optimization problem

该程序提供了一个计算机下国际象棋的功能，拥有完全的代码，由matlab编成的很多人工智能的函数，有详细的文档，直接运行chess.m文件即可-The program provides a computer under the functions of chess, with complete code, matlab compiled from many artificial intelligence function, has a detailed document, a document can be directly run chess.m

bp神经网络技术用于步态识别的vc源程序

以一个简单的例子说明模拟退火算法的思想。 模拟退火法求函数f(x,y) = 5sin(xy) + x^2 + y^2的最小值，对理解模拟退火算法是一个很好的程序示例。-to a simple example illustrates the simulated annealing algorithm thinking. Simulated Annealing for the function f (x, y) = 5sin (xy) x ^ 2 y ^ 2 minimum, the right understanding of simulated annealing method is a good example of the procedure.

支持向量机(5)libSVM-Support vector machines (5) libsvm

the matlab code of ginisvm - an svm implementation good at probability regression.-the matlab code of ginisvm- an svm implementation good at probability regression.

由 Visual C++ 编译过，可以求解任何个数城市的tsp问题，只要输入城市坐标即可。-By Visual C++ Compiled, you can to solve any number of cities tsp, so long as you enter the city coordinates.

apriori算法是数据挖据中的经典关联规则挖掘算法，是由aggwal最早提出来的-apriori algorithm is data-dug, according to the classical association rule mining algorithm is put forward as early as aggwal

本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 支持反向传播算法(BP),LBG聚类法和径向基网络(RBF) -This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF)