使用模拟退火思想解决ISP（独立集）问题，使用先看说明

A*算法，用来寻路，非常有用的，我历尽千辛万苦才找到的-A* algorithm, used to find the way, very useful, I experienced a lot of hard work to find the

用vb编写的一个遗传算法的程序，大家可以参考-prepared with a genetic algorithm of the procedure, we can refer to

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

人工智能课程习题与解答-artificial intelligence programs to answer the questions and

野人过河问题属于人工智能学科中的一个经典问题,问题描述如下: 有三个牧师(也有的翻译为传教士)和三个野人过河,只有一条能装下两个人的船,在河的任何一方或者船上,如果野人的人数大于牧师的人数,那么牧师就会有危险. -Savage disciplines of artificial intelligence problems are across the river a classic problem, described as follows: there are three priests (and some translation for the missionaries) and three wild man to cross the river, there is only one person can hold two boats, the river of any either on board or, if greater than the number of wild man of the number of priests, then the pastor will be in danger.

这个程序是A*算法的简单实现，来解决八数码问题-It just simply applys the A* algorithm to solve the Eghit-puzzle problem

-连续动态环境的XCS问题的测试版本：真实的多路复用器实验：XCS是在动态环境中探索的，对基本概念有不同程度的改变。参考文献：H.H.Dam，H.A.Abbass，C.J.Lokan。进化在线数据挖掘是一种动态环境下的研究。2005被《斯普林格计算智能研究丛书》中的一章所接受H.H.D.am，H.a.Abbass，C.J.Lokan。要真实！具有连续值输入的XCS。IW LCS 2005。学习分类系统国际研讨会。华盛顿特区，2005年6月。

基于svm的机器学习文本分类方法，具有很好的借鉴意义-Svm-based machine learning text classification methods, with a good reference

粒子群优化算法，挺好，大家可以试试，非常好的优化算法-PSO algorithm, is very good, we could try, very good Optimization Algorithm

基于BP算法的贝叶斯网络参数学习， 实现了图形话的节点表示和样本生成， 图形话的结果分析-BP algorithm based on Bayesian network parameter learning, the achievement of the graphics, then the node express and sample generation, if the results of graphical analysis