实现自适应模糊控制的功能，大家 可以下载下来

自组织 Kohonen 映射程序，当一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。 -Kohonen self-organizing map process, when a neural network to outside input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is done automatically. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.

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.

本算法为自适应遗传算法，采用基于排序的选择策略，编码方案为实数编码。能够解决很多优化问题！-The algorithm for the adaptive genetic algorithm, based on the sort of choice strategy, coding schemes for real-coded. Many optimization problems can be solved!

关于多目标规划的算法，是个好东西，快来下载吧-On the multi-objective programming algorithms, is a good thing, Come to download it

可视化的手写（鼠标）字母数字神经网络训练程序。-visulized neural network trainning programme。

k-means算法 自定义数据样本和类中心 已经调试实现 并且有图清晰表示-k-means algorithm for custom data types of samples and testing center has been and realize that has a clear plan

一个分词程序，c代码，有很详细的注释，便于阅读-A segmentation procedure, c code, have very detailed notes, easy-to-read

用于求解多目标优化问题，多目标进化算法源程序-The code for multi-objective optimization algorithm

此文档是遗传算法原理加源代码。 生物的进化是一个奇妙的优化过程，它通过选择淘汰，突然变异，基因遗传等规律产生适应环境变化的优良物种。遗传算法是根据生物进化思想而启发得出的一种全局优化算法。 -This document is the principle of genetic algorithm source code increases. Biological evolution is a wonderful optimization process, it eliminated by choosing a sudden variation of genetic and other changes in the law to adapt to the environment arising from the fine species. Genetic algorithm is based on ideas of biological evolution and the inspiration derived from a global optimization algorithm.

王小平老师的遗传算法-理论应用与软件实现的源代码（matlab， C）-source codes of the book "Genetic Algorithm" by Wang Xiaoping.