用贪心算法求解旅行商问题。输入数据可以得到最值…

遗传算法中的简单遗传算法，用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.

一种数据聚类算法的源码，可以在模式识别和图像处理中试用。 -a data clustering algorithm source code, in pattern recognition and image processing trial.

基于VC开发的自适应遗传算法源程序 大家一起学习吧-development of the VC-based Adaptive genetic algorithm source you learn it

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad

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)

可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order

改进的量子搜索算法的论文，用于模式识别等方面-Quantum search algorithm to improve the paper for pattern recognition, etc.

这是一个我自己编写的JAVA程序，可以运行的。思想是将KMEANS和神经网络结合起来实现模式的分类。-This is a Java program writen by meself which can be run.The chief concept is to combine KMEANS and NN to achieve classification of pattens.

支持向量机(SVM)的VC源代码，内有应用手册和应用实例。-Support Vector Machine (SVM) of the VC source code, with the application of manuals and application examples.

每条人工鱼迭代20次的位置,每条人工鱼迭代20次的位置,对应的Y的值,每条人工鱼迭代20次的临时位置,公告牌,每条人工鱼迭代20次的位置,对应的Y的临时值，公告牌,人工鱼移动的最大步长,求出最优的函数值；-Each of artificial fish, the location of 20 iterations, each iteration of artificial fish, the location of 20 times the corresponding value of Y, each iteration of artificial fish 20 times a temporary location, bulletin boards, each iteration of artificial fish 20 second position, corresponding to the provisional value of Y, bulletin boards, artificial fish, the biggest step to move, find the optimal function value