在vc上运行的回答集求解器源代码，能够供在人工智能上学习的学习者使用...

最简单的遗传算法的源程序，提供大家交流。-The simplest genetic algorithm source code, provided to facilitate the exchange.

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.

神经网络中的竞争网络聚类-neural network competition in the network clustering

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.

回溯法求01背包问题,c语言版本，由于时间关系没有将代码进行很好的整理，所有代码都在一个文件中-Retrospective Method 01 knapsack problem, c language versions, due to time not finishing a very good code, all code in one file

使用禁忌搜索法约求解瑟夫环改进算法，程序简单易懂。-use tabu search about solving Cerf Central improved algorithm, procedures simple and understandable.

加了动量项和域值，比较好用的bp网络算法-added value items and Victoria, better quality bp Network

Origin 是数据处理软件，这是软件的操作训练-Origin is a data-processing software, which is software operation training

遗传算法的C语言计算，同时以文本的方式输出和图形的方式输出。-genetic algorithm in C language, while the text and graphic output of the output.

这是用实验函数--Ackley函数来检验遗传算法的优越性，其中有点小毛病，就是种群数在20个左右效果最好，一旦增加种群，结果就不大对劲了。忙了好多天，也没调出来，还请各位大侠指点喽-This is the experimental function-- Ackley function to test the advantages of genetic algorithm, with a little fault, is the number of stocks in the 20 best around, once increased stocks, the result is not very comfortable having the. Busier afterwards, it was not stressed out, please Shanhaiguan kind Lackeys