artificial intelligence procedures

Collection of 30+ AI Neural Network java applets with documentation.

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,

利用OPenCV写的一个hough变换检测直线的程序-OPenCV written using a hough transform line detection procedure

用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the program automatically gives Classification Interface

细胞自动机的程序,关于细胞自动机如何实现的问题-Cellular Automata procedures on Cellular Automata how to realize the problem

模式识别中的感知机算法实现，在matlab下实现-Pattern Recognition Perceptron algorithm in matlab to achieve

有关粒子群算法的求解tsp的c++程序。-the PSO for the c tsp procedures.

隐马尔可夫模型算法(解压后为ppt文件，改名为a.ppt)-HMM algorithm (decompression after ppt documents, renamed a.ppt)

将强化学习算法应用于Tic-tac-toe游戏-The reinforcement learning algorithm is applied to Tic-tac-toe game

AIML的实现，AIML是机器人语言中比较适用的原型，希望大家喜欢-AIML realization, AIML robot language is more applicable to the prototype, I hope everyone likes