Apriori数据挖掘算法的C++实现，传统的算法Apriori

关于语音情感识别的一篇论文，里面描述了人工神经网络的方面-Speech Emotion Recognition on a paper, which describes aspects of artificial neural network

该程序是汉字识别算法的c++代码，通过训练后对输入的汉字进行识别，从原理上了解汉字识别的方法和实现过程。 -The program is character recognition algorithm c++ Code, through training after the input of Chinese characters to identify, from the principle on the understanding of Chinese character recognition method and the realization of the process.

遗传算法学习资料-GA learning materials

遗传算法和神经网络的结合应用，通过Visual C++环境来实现该功能，使计算能力更强-Genetic algorithms and neural networks combination of applications, through the Visual C++ environment to achieve this feature, so that more computing power

用遗传算法进行排序-genetic sequencing algorithms

人工智能的一种典型的启发式搜索算法，是一种最好优先的算法，但要加上一些约束条件。-A typical artificial intelligence heuristic search algorithm, is a priority of the best algorithm, but to add some more restrictive conditions.

介绍模拟退火算法的经典资料，最后附了一些经典的例子-Describes the classic simulated annealing algorithm information, finally attached to a number of classic examples of

An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (US$28 / £ 19.04) 书中的算法源程序-An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (U.S. $ 28 /

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

遗传算法演示程序-GA Demonstration Program