模糊ISODATA聚类分析可以将数据的模糊矩阵的聚类分析

该程序通过BP算法辨识出0-9个数，辨识效果较好。

matlab写的模糊整定PID参数的子函数 -Matlab write fuzzy PID tuning parameters Functions written in Matlab fuzzy tuning PID Parameters of Functions written in Matlab fuzzy PID tuning parameters Functions written in Matlab fuzzy setting P ID parameter Functions

人工神经网络天气预报方法-ANN weather forecasting method

人工智能方面一个专家系统的简单例子-artificial intelligence expert system for a simple example

聚类分析简介，是个课件，希望对大家有帮助。-Introduction Cluster analysis is a courseware, we want to help.

遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas

提供了遗传算法的一些代码库文件，国外下的很有用-provide the genetic algorithm code of the document, the foreign useful

人工智能中的遗传算法权威书籍 适合初学者-Genetic Algorithms in Artificial Intelligence the authority of books suitable for beginners

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.

TSP算法，应用局部搜索法得到最优路径，已经经过优化。没有密码，可以使用，vc环境下使用。-TSP algorithm, using local search to be optimal path has been optimized. No password can be used, vc environments.