采用遗传蚁群算法求解TSP问题

用VC++实现的，超级好用的8种神经网络源代码,超好用,超简洁 ，是我多年研究所得，已经全部测试过-With VC++ Realize, and eight kinds of super-to-use neural network source code,超好用, super-simple, is my research for many years, they have all been tested

这是一本粗糙集数据挖掘的书，其中同时介绍了其他几种数据挖掘方法，并进行了相关对比-This is a rough set data mining of the book, which also introduced several other data mining methods, and conduct the relevant comparison

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)

其中包括模拟退火算法的具体实现，还有其他经典算法的实现，数模全赛逢山开路问题的解答程序-Including simulated annealing algorithm to achieve the specific, there are other classical algorithm for the realization of digital-analog-wide open tournament every hill questions procedure

免疫优化计算、学习与识别,是焦李成著的一本经典书中的源程序,供大家学习!-Immune Optimization calculation, learning and recognition, JIAO Li-cheng book is a classic source book for everyone to learn!

实现自适应模糊控制的功能，大家 可以下载下来-adaptive fuzzy control

扩展遗传算法SPEAII(Strength Paretor Evaluation Algorithm)算法的代码实现,良好的程序框架，便于向其他应用领域扩展，建议大家使用。-Extended genetic algorithm SPEAII (Strength Paretor Evaluation Algorithm) algorithm code, a good procedural framework to facilitate expansion to other application areas, it is recommended the use of everyone.

神经网络BP算法-neural network algorithm

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.

遗传算法GAlib库的英文使用说明文档。- Heredity algorithm GAlib storehouse English operating instructions documents.