这是用C语言编写的ID3算法，希望对大家有所帮助

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

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

遗传算法在ＭＡＴＬＡＢ环境中的实现.rar-genetic algorithm in MATLAB environment is achieved. Rar

林智仁编写的著名的SVM代码(libsvm-2[1]-林智仁prepared by well-known SVM code (libsvm-2 [1]

国内的一个A*算法演示，可以自己画地图，演示效果非常好-domestic A* algorithm for a demonstration, can you paint maps, the effect was very good demonstration

经过改进的遗传算法的VC源代码。经测试算法有效可行。-improved genetic algorithms VC source. Testing Algorithm effective.

遗传神经网络-Genetic Neural Network

Simulated annealing (SA) for the Symmetric Euclidean TSP

神经网络程序设计，遗传算法-neural network programming, genetic algorithm

一个简单的遗传算法C++类-a simple genetic algorithm C