该程序是遗传算法的具体实现，通过该程序可以对遗传算法有更深入的了解。...

fp_growth，apriori算法的升级版，减少了扫描数据库的次数-fp_growth, apriori algorithm upgrades, reducing the number of scanning the database

这是一个BP神经网络的程序，使用Matlab编辑的。-This is a program of Back-Propgation neural network,edited in Matlab.

PUMA560机器人正解程序包含六个关节，计算时只计算前三个关节-Positive Solutions PUMA560 robot contains six joints, the calculation only the first three joints

线性神经网络应用实例-linear neural network application

Mining sequential patterns with constraint (SPADE with constraint)

网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.

基于bp人工智能的图像识别的技术，配套源代码-bp artificial intelligence-based image recognition technology and supporting source code

人工智能经典问题TSP问题的Java实现，内含源程序和调试过程生成的文件-AI classic TSP Java realize that contains source and debugging process produces files

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

用隶属函数型神经网与模糊控制融合的解耦程序-Membership functions with neural networks and fuzzy control integration of the decoupling procedure