BP神经网络解决异或问题

k-means算法 自定义数据样本和类中心 已经调试实现 并且有图清晰表示-k-means algorithm for custom data types of samples and testing center has been and realize that has a clear plan

Java编写的分形程序，利用随机分形画出的蕨类植物的叶子图。另：有C源程序 -Java fractal program written using random fractal ferns painted leaves Fig. Another: There are C source code

遗传算法的源代码，使用c++语言编写，结构清晰，注释完整，明了易懂-Genetic Algorithm

支持向量机中的JAVA程序 初学者可以方便使用-Support Vector Machine in the JAVA program for beginners can easily use

三篇蚁群优化算法的硕士论文，介绍详细，解释清楚，是初学者的入门指导。-3 Ant Colony Optimization Algorithm for master

为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.

一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.

基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面 的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平 面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验 证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and laser range finder, a size of an unknown two-dimensional rectangular space Pose measurement algorithm. The algorithm does not need to know the G flat rectangular object vertex coordinates, they only need to know the image coordinates, image coordinates of laser points and the laser ranging results, we can calculate the size of the unknown space rectangular plane in the camera coordinate system bit posture, and to calculate the size of rectangular plane. Through the establishment of monocular hand-eye cameras and laser range finder of the mathematical model, the algorithm is verified. Experimental results show that the algorithm is effective, can be applied to the robot on the space object tracking, positioning, and crawling.

神经网络预测bp算法程序，可以对一组数据进行有效的预测-bp neural network prediction algorithm process to a group of data for effective forecast

《遗传算法――理论、应用与软件实现》王小平曹立明著一书的参考光盘.rar-"genetic algorithm-- the theory, application and software," Wang Xiaoping Cao Liming with a reference to the CD. Rar