这是一个利用Visaual C++完成的基于神经网络方法的专家系统源代码...

遗传算法解决随机期望值模型问题的例题-random genetic algorithms to solve the problem expectations model example

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

face recognition test source code

本人用matlab内部函数编写的BP神经网络算法实现，采用目前最先进和流行的LV算法，速度很快，效果很好-I use the internal function matlab prepared BP neural network algorithm, using the most advanced and popular LV algorithm, fast, good effect

蚁群算法源程序 ，比较实用，有简要说明-蚁群算法源程序 ，比较实用，有简要说明

对于具有一定规模的TSP问题的求解，至今没有较完善的求解办法。本程序是用遗传算法来求解TSP问题。-for a certain size of the TSP solution and there has been no better way to solve. This procedure is used genetic algorithms to TSP.

关于人工智能传教士和萨维奇的详细情况，请参阅拟议修正案。

模式识别以及重要问题，很好的内容，千万不要错过-Pattern recognition, as well as important issues, very good content, do not miss

ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorithm of RH- KTB vacuum exhaust system fault diagnosis arrival.

这是我自己编的从数据中自动提取模糊规则的程序,这个文件中包括了一个主程序和几个函数,能够自动提起模糊规则、合并优化模糊规则。-This is my own series of the data from the automatic extraction of fuzzy rules procedures, the document includes a main program and several function, can automatically initiate fuzzy rules, merging optimization fuzzy rules.