很好用的一个适用程序，由Visual C＋＋编程，有收藏价值

用c语言演绎“生命游戏",本世纪70年代，人们曾疯魔一种被称作“生命游戏”的小游戏，这种游戏相当简单。假设有一个像棋盘一样的方格网，每个方格中放置一个 生命细胞，生命细胞只有两种状态：“生”或“死”。-with language interpretation c Life "game", the 1970s, It had been a crazy demons known as the "Game of Life" of the games, this game is quite simple. Suppose a chessboard like the same grid, each square place a living cell, cell lives only two states : "Health" or "dead."

人工神经网络天气预报方法-ANN weather forecasting method

基于主成份分析（PCA）的人脸特征识别核心源程序。

遗传算法做图像的模式匹配，绝对经典，有源码看，有执行文件可以执行，下面有个执行环境的文件请先安装。-Genetic algorithm to do pattern matching images, absolute classics, and have look source, has the implementation of a document can be implemented, has the following months the implementation of environmental documents, please install.

一个简单的遗传算法 采用实数编码、比例分配轮盘赌选择、杂交采用离散与算术双重杂交、一般性变异。-A simple genetic algorithm using real-coded, proportional allocation of roulette selection, hybrid discrete and numeracy double hybridization, general variation.

数据挖掘中Aprior算法的C++实现，采用的传统Aprior算法-Aprior data mining algorithms to achieve C, the traditional algorithm Aprior

这是一种利用bp神经网络来解决异或问题的算法.-bp using neural networks to solve the problems or differences algorithm.

多核环境下运行了可满足性分析的工具软件，能够使你充分了解多核编程技术-Multi-core environment running satisfiability analysis tools, enabling you to fully understand the multi-core programming technology

基于遗传算法的基元识别与提取，C++源代码-Based on genetic algorithm identification and extraction of primitives, C++ Source code

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."