libview的libsvm程序，它的应用比较方便。

一个基于MFC的人工智能的巫魔问题求解，图形化界面显示。-an artificial intelligence-based MFC Witch of the devil problem solving, graphical interface shows.

Adaline Network Pattern Recognition 人工智能人工神经网络源码-Adaline Network Pattern Recognition of artificial neural network artificial intelligence source

变色龙层次聚类算法，利用动态模型的层次聚类算法-chameleon hierarchical clustering algorithm, using a dynamic model of hierarchical clustering algorithm

一个支持向量机的工具箱。包括2类分类算法与回归算法。-A Support Vector Machine Toolbox. Including Category 2 classification algorithm with the regression algorithm.

有关优化的遗传算法-the genetic algorithm optimization

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

打开压缩包，其中的word文档中提供了“m个工件分配给m架机床的效益最优化问题，使用一种遗传算法解决。”的整个编程思路和过程分析。望有相关需要的朋友喜欢-open compressed, the word document provided "m m allocated to the workpiece-machine efficiency optimization, the use of a genetic algorithm to solve." The entire programming ideas and process analysis. Expect relevant to the needs of friends like

遗传算法中的NSGA2算法实现，解决多目标遗传算法求解Pareto近似解，具有很好的运行效果-Genetic Algorithms NSGA2 algorithm to solve multi-objective Pareto genetic algorithm approximate solution, with very good operating results

用C++实现了期望最大化算法，为了简化，矩阵使用对角矩阵-C achieve expectations maximize algorithm, in order to simplify the use of matrix diagonal matrix

经典的SOM人工神经网络例子源码，经测试可用，可作入门学习用-SOM classic examples of artificial neural network source code