Based on the MATLAB neural network to complete the U.S. source

Prolog开发的简单的几个人工智能方面的程序.含问题分析报告.-Prolog development of a few simple artificial intelligence procedures. The report containing analysis.

另一个足球机器人程序，有非常好的参考价值-Another robot football program, there are very good reference value

基于神经网络的乒乓球机器人乒乓球轨迹预测代码，神经网络的参数可能有待进一步改进-code of PingPong Robot trajectory predicting based on neural network

《基于MATLAB系统分析与设计－－神经网络》一书的源程序-"based on MATLAB analysis and design-- neural networks," a book of the source

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。-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, these transactions are capable of learning, can be predicted based on previous success or failure of their decisions for the

pso 的一个演示源码，欢迎初学者下载，共同进步-pso source of a presentation, please download beginners, and common progress! ! ! ! ! !

林火预测元胞自动机的代码，利用它可以对未来的林火情况进行模拟和预测-Forest Fire Cellular Automata prediction code, using it for the future forest fire situation in the modeling and prediction

一个利用C#语言实现的遗传算法源程序-a C# language of the genetic algorithm source

分布式并行数据挖掘计算框架及其算法研究.主要是关联规则-Distributed parallel computing framework for data mining and its algorithm. Mainly association rules

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