clusterfilesrev 最新的分类聚类代码，delphi编写

Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎，一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它，以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a component of distributed training environment. By writing new modules to expand it to meet new algorithm based components or starts a new architecture.

一个基于MFC的人工智能的巫魔问题求解，图形化界面显示。-an artificial intelligence-based MFC Witch of the devil problem solving, graphical interface shows.

BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by

遗传算法分层遗传算法-GA GA stratified

用vb编写的一个遗传算法的程序，大家可以参考-prepared with a genetic algorithm of the procedure, we can refer to

java神经网络工具箱-neural network toolbox

用于求解多目标优化问题，多目标进化算法源程序-The code for multi-objective optimization algorithm

神经网络中的SOM算法的C语言程序实现,可以对初学者了解神经网络有帮助.-SOM neural network algorithm in the C language program can be for beginners understand the neural network has to help.

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.