2. "Genetic Algorithm

编程的 BP算法并行,很好,值得下载,详细的介绍了BP算法-Of the BP algorithm for parallel programming, well worth downloading and detailed description of the BP algorithm for

这是台湾张智星的模式识别的课件的源码，包括GMM和data clusting-This is the star pattern recognition Zhang Zhi courseware source, including the GMM and data clusting

最短寻路算法，利用Astar算法实现，是arp游戏中的寻路模型，有图例-Find the shortest path algorithm, the use of Astar algorithm is arp routing game model, there is Legend

基本遗传算法程序包-basic genetic algorithm program package

用遗传算法求解TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可。-Genetic Algorithm with TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter entry process.

雅可比(Jacobi)迭代算法的C++实现，供研究设计使用-Jacobi (Jacobi) iteration algorithm for C++ implementation for research designed to use

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

博弈论的经典书 应该算是人工智能算法的先修书籍吧-Game Theory classic book is the pre-artificial intelligence algorithms books it

汉字识别系统，非常简单，网络上看到的 一起学学啊，对模式的一个简单匹配.-Chinese character recognition system is very simple, see the Web together to learn ah, the model of a simple matching.

这是一个nsga的应用问题。算法可能不是最优的。-application of nsga