一个聚类算法，这是清华大学电子系OCR实验室的人写的

王小平老师的遗传算法-理论应用与软件实现的源代码（matlab， C）-source codes of the book "Genetic Algorithm" by Wang Xiaoping.

遗传算法学习资料-GA learning materials

每条人工鱼迭代20次的位置,每条人工鱼迭代20次的位置,对应的Y的值,每条人工鱼迭代20次的临时位置,公告牌,每条人工鱼迭代20次的位置,对应的Y的临时值，公告牌,人工鱼移动的最大步长,求出最优的函数值；-Each of artificial fish, the location of 20 iterations, each iteration of artificial fish, the location of 20 times the corresponding value of Y, each iteration of artificial fish 20 times a temporary location, bulletin boards, each iteration of artificial fish 20 second position, corresponding to the provisional value of Y, bulletin boards, artificial fish, the biggest step to move, find the optimal function value

非常简单的一个神经网络小程序 自己写的 还用了遗传算法进行优化-Very simple neural network of a small program written in their own also used genetic algorithms to optimize

径向基网络对Polynomial函数的逼近和拟合-Radial basis function networks Polynomial Approximation and fitting

use swarm intelligence to simulate network routings in omnet-use swarm intelligence to simulate networ k routings in omnet

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。总之，ASM是一个电脑中不断进化的虚拟股票市场！通过研究ASM，我们可以更好的理解现实世界的行为，并且它提供了一个很好的现实股市的隐喻。 备注：该程序运行需要有Swarm平台的支持，关于这个平台可以到http://www.swarm.org免费下载。 -artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover,

模式识别与人工智能，圆检测HOUGH变换的改进算法-Pattern Recognition and Artificial Intelligence, HOUGH transform circle detection algorithm to improve

这是一个关于目前最前沿课题的神经网络学习模型的程序-xor-This is a topic on the forefront of the current neural network learning procedures for model-xor

这是一本较详细介绍遗传算法原理和应用的书籍，很多应用在本书中多有介绍-This is a more detailed genetic algorithm theory and application of books, many applications in this book presents more