实现自适应模糊控制的功能，大家 可以下载下来

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

又一个外国人写的程序，请大家鉴定，还是ica方面的程序，挺好的-also a foreigner to write the procedures, please identification, or the procedures ica, in very good shape;

基于基本遗传算法的函数最优化，C++源代码-Price quilt hanging遗price for dialysis tub cavity算Finally, Yang Zhao ， Pro C++ Daitou Tungsten measurements

用C#语言开发基于模拟退火算法解决的10个城市的TSP问题-The Solution of TSP(C#)

利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）-Fisher classifier using the data classification, and face painted in decision-making (including test data)

tutorials for learning protege(open source softwar to design the ontology)

LS-SVM_UserGuide是LS-SVM使用方法介绍的一篇文章，竟对我们学习支持向量机有很大的帮助。-LS-SVM_UserGuide is the use of LS-SVM method described in an article we had on the support vector machine learning of great help.

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.

模式识别中的十大经典算法,有详细的实现过程,花了很大工夫,现挥泪上传-Ten classic pattern recognition algorithms in detail the realization of the process and spent a lot of work, it is挥泪From

遗传算法在路由优化中的应用:多服务质量的最小路径的算法.-Genetic Algorithm in Routing Optimization: Multi-service quality of the minimum path algorithm.