This is a very good network of BP procedures for the two types of data classific...

模拟退火算法：源于遗传算法，用来解决优化、决策等复杂的模型和问题。-Simulated annealing algorithm: from the genetic algorithm, to solve optimization, decision-making complex models and problems.

Dynamic Programming Code for the TSP

EM算法，详细介绍了EM算法的应用，对研究EM算法的人来说有很大的帮助。-EM algorithm, described in detail the application of EM algorithm

matlab程序计算经典数学问题：最短路和次短路问题-matlab program calculated the classical mathematical problem: The most short-circuit and sub-shortest path problem

支持向量机(5)libSVM-Support vector machines (5) libsvm

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)

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,

AI 人工智能 在C#环境下 实现 过河问题 算法-AI

face recognition test source code

转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into the training data. m*. load the document, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy