这个是关于遗传算法的比较完整的C语言程序，个人觉得还是比较有参考价值。...

Matlab中的GA程序-Matlab GA procedures

这是一篇美国博士毕业设计的论文，是用神经网络实现mppt的方案-This is a graduation project of the United States, Dr. thesis, is to use neural network program to achieve MPPT

nsga2非支配排序遗传算法，c++源码实现-nsga2 non-dominated sorting genetic algorithm, c++ source code to achieve

文本分类算法很多，神经网络算法遗传算法可以用，本算法采用支持向量机SVM来实现-Text Classification Algorithm

遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV

现代控制理论经典PPT，非常有效，而且方便好用-Classic modern control theory, PPT, very effective and convenient easy to use

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为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。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. 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.

Unicode Optical Character Recognition

用遗传算法进行排序-genetic sequencing algorithms