Visual C++编写的粒子群优化算法！

遗传算法求解函数极值，一个基础的实用程序-Extremal function of genetic algorithm, one based on utility

MATLAB编写的BP神经网络程序，好用。-MATLAB prepared by BP neural network procedures, easy to use.

用遗传算法实现任务分配优化的源程序。-genetic algorithm optimization task allocation of the source.

该程序介绍了一种简单的遗传算法应用程序，采用matlab高效编程，适合于二进制编码的典型应用。-The program introduced a simple application of genetic algorithm using matlab efficient programming, suitable for the typical application binary code.

bp神经网络的工具包-bp neural network tool kit

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)

神经网络C程序的第3章-neural network C procedures for the Chapter 3

本算法采用最基本的遗传算法编写，有利于初学者掌握遗传算法的构成。-This algorithm is written by the most fundamental genetic algorithm,benefit the beginner to know the structure of genetic algorithm

ACO优化，用于SIMO通信系统的盲检测中，对通信系统的性能进行优化-ACO optimization, SIMO communication system for blind detection, the right to optimize the performance of communication systems

径向基函数网络应用实例-RBF Network Application