这是一个用于数据挖掘的常用算法的模板库（数据挖掘的C++模板库for UNIX)...

C词法分析器实现,AOE网络算法实现,KRUSKAL算法实现,PRIM算法实现,计算机图形学影线填充算法（键盘坐标输入）,计算机图形学影线填充算法（鼠标输入）,人工智能A*算法实现的C语言程序-C lexical analyzer to achieve, AOE network algorithm, KRUSKAL algorithm, PRIM algorithm, computer graphics hatched filling algorithm (keyboard input coordinates), computer graphics hatched filling algorithm (mouse input), Artificial Intelligence A* algorithm The C Programming Language

用C++编写的遗传算法，涵盖较多内容，有文档-prepared by the genetic algorithm, covering more content, documents

这是一个神经网络的开发工具-This is a neural network development tools

以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.

Bayes网络工具箱，可以用作分类或者拟和，希望对大家有用-Bayes network toolbox, can be used as a classification or proposed and, in the hope that useful to everybody

本程序是具有进化能力的人工生命floy，你会看到越来越具有智能的floy会自发的产生。 -this evolutionary process is the ability of artificial life floy, you will see more intelligent the floy will spontaneously emerge.

tsp问题，10个城市的最佳路径。。。。。。matlab-tsp problem, the best 10 cities in the path. . . . . . matlab

这是一个使用VC++编写的“智能支持决策系统DSS源程序”，学习语言很有参考价值.分配问题/匈牙利算法-It is a preparation of the VC "intelligent decision support system DSS source," learn the language of great reference value. Distribution/Hungary algorithm

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

利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2*** x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding value of x, algorithm using binary encoding, using different cross-cross and advantages of crossover and mutation at the two without variation and variation advantage