针对TSP问题，用类神经网路的方法去求解！

介绍了神经 网络中的CPN算法的C语言实现.-Introduce a neural network algorithm in C language CPN realize.

利用a星算法来走迷宫的C++实例。console下运行，a星算法比较简洁明了，便于学习-The use of a satellite algorithm to Maze in C++ examples. console running, a star algorithm is relatively simple and clear, easy to learn

结合均匀设计表和小边经验公式产生初始种群，使TSP应用遗传算法能求出更优更快解，详尽说明见paper.doc。-uniform design combining a small side table and have empirical formula initial population, TSP application of genetic algorithms can be obtained faster and better solutions, detailed description of paper.doc.

matlab小程序，为初学者提供一些常用的例子-There provide some basic matlab programs that will help a biginer a lot.

人工神经网络基本模型：BP、ART、Hopfield、SOM-ANN basic model : BP, ART, Hopfield, SOM

数据挖掘c45分类算法 数据挖掘c45分类算法-C45 data mining data mining classification algorithms C45 classification algorithm

这是一个人工智能方面的遗传算法工具箱包 -This is an artificial intelligence aspects of the genetic algorithm tool bags

由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the "k-means clustering algorithm" mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.

用蚁群算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。-Tsp with ant colony algorithm for solving the problem. . . matlab prepared. Coordinate with the city for inspection.

经典的SOM人工神经网络例子源码-classic example ANN FOSS