ｍａｔｌａｂ编写的计算排序问题或者求最优值问题，适用于数学建模以及工程计算...

人脸检测定位的示例代码.rar VC++源码，具有一定参考价值,我也是从别处下载下来的。-Face Detection positioning the sample code. Rar VC source, which have a certain value, I also downloaded from the elsewhere.

关联规则的频繁项集算法bomo的源代码，含说明文件，C编写，可在linux和windows下编译。-Related and regular frequent source codes which collects algorithm bomo, includes the supporting paper, C is written, can compile under linux and windows

用C语言实现的BP网络的程序,严格按照BP的算法流程,开发环境为WIN-TC-C language of BP procedures in strict accordance with the BP algorithm. Development Environment for the WIN-TC

人工鱼群算法（AFSA）是2002年李晓磊提出的基于鱼群行为的寻求全局最优 的新型搜索策略，该算法具有较优的全局收敛能力及较快的寻优速度。本文首次将 人工鱼群算法应用于人工神经网络的学习，形成了人工鱼群神经网络模型，通过与 BP算法、模拟退化算法、进化算法训练的人工神经网络进行比较，验证了人工鱼群 神经网络在全局寻优能力上的优势，进而利用人工鱼群神经网络进行电力系统短期 负荷预测，建立了人工鱼群神经网络预测模型。为了进一步提高算法的稳定性，以 及求得全局最优值的能力，文中给出了改进的人工鱼群算法。当人工鱼种群的最优 值在多代未变的情况下，加入了“跳跃”行为，改变人工鱼个体的参数，避免陷入 局部最优并提高了寻求全局最优解的能力。然后建立了新的预测模型，实际编程表 明，改进后的模型具有更好的全局最优化能力及稳定性。-err

K-Means动态聚类算法源程序 使用K-Means实现数据挖掘中的聚类算法-Dynamic K-Means clustering algorithm source realize the use of K-Means clustering data mining algorithm

基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用-Elman neural network based on the step response of the dynamic compensation can be applied to an example of the Elman network other applications

基于Hopfield神经网络解决旅行商问题，学习模式识别的朋友可以参考-Based on the Hopfield neural network to solve traveling salesman problem, pattern recognition learning can refer to a friend

apriori算法是数据挖掘的经典算法之1,其基于关联规则的思想.这是我的第2个收藏算法-algorithm is data mining algorithms of a classic algorithms, based on the idea of association rules. This is my first two collections Algorithm

关于细胞自动机的例子，希望有志于这领域的同仁研究-on Cellular Automata example, are interested in this area of research colleagues! !

ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis) -ClustanGraphics clustering analysis tools. Provides 11 kinds of clustering algorithms. Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean ProximityCentroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of SquaresFlexible (? space distortion parameter) Density (or k-linkage, density-seeking mode analysis)