MATLAB的遗传算法工具

人脸识别：利用奇异值分解和KL变换的投影，是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article

人工免疫网络,实现分类,聚类,函数寻优等功能,采用matlab编写.-artificial immune network, classification, clustering, search function Excellence function, prepared using Matlab.

这是一个神经网络开发包。目录ann下是专门针对神经网络的代码，外部目录是一些公用的代码，与神经网络无关，但是神经网络的代码用到了它们。 ann目录下有一个目录demo，里面存放了一些示例程序，请参照它们进行编程。 ann/prj/vs7下是编译整个库的Visual Stdudio 2003工程文件-This a neural network development kit. Ann directory under specific neural network code, external directory is some common code, has nothing to do with the neural network, but neural networks use of their code. Ann directory is a directory demo, stored inside a sample program, please refer to their program. Ann/prj/vs7 under compiler for the entire 2003 Visual Stdudio engineering documents

分布式并行数据挖掘计算框架及其算法研究.主要是关联规则-Distributed parallel computing framework for data mining and its algorithm. Mainly association rules

一个支持向量机的工具箱。包括2类分类算法与回归算法。-A Support Vector Machine Toolbox. Including Category 2 classification algorithm with the regression algorithm.

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.

本程序代码是人工智能中九宫搜索的解决 采用Java语言-the code is AI JiuGongTu search solutions using Java language

Evenly spaces the cities on the perimeter of a wheel and returns a vector of their coordinates 利用AI技术生成一个圆-Evenly spaces the cities on the perimeter of a wheel and returns a vector of their coordinates the use of AI technology to generate a circle

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 .

介绍人工神经网络的模型及其应用。张立明编著，复旦大学出版社出版。-Introduction of artificial neural network model and its application. Edited by Zhang Liming, Fudan University Publishing House.