6. "Non

人工免疫算法的集合，包含函数优化，图象识别，聚类等多种应用，采用matlab编程，并负有示例数据。~..~ -artificial immune algorithm set includes function optimization, image recognition, clustering, and other applications. using Matlab programming, and bear sample data. ~ ~ ..

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.

clementine8.1白皮书经典的数据挖掘软件说明-clementine8.1 White Paper classical data mining software Note

人工神经网络技术在智能分布式检索系统中应用- The artificial nerve network technology applies in the intelligent distributional retrieval system

曲线的平滑，应用贝塞尔曲线进行平滑，点击要平滑的点即可-With this program you can smooth your data automatically only by selecting the area to be smoothed with 2 clicks. Then INTERP1 is used to smooth. The operation is repeated until you press ENTER.

用VISUAL C＋＋编程实现指纹图像的特征提取以及对指纹图像的识别-Utilising VISUAL C++ to make programs, we can get the characters of image and identify the image of finger mark

本程序是数据挖掘中的关联规则模型中著名的Aprior算法的VC实现程序，可用于知识发现、数据挖掘、人工智能、模式识别等领域（请先解压文件）-The code is the VC implementation of the well-known Aprior algorithm in Association Rule Model of Data Mining field, can be used in Knowledge Discovery, Data Mining, AI, Pattern Recognition and so on.(Please unzip the file first)

人工智能与模糊控制_电力系统-artificial intelligence and fuzzy control _ Power System

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox

 1、有9个工件图像，要求从本章讲授的特征提取方法中，选择3~5种提取工件特征并给出数字结果；链码为必选方法，给出数字结果和图形显示，做到链码和原图像的双向变换显示。（实验报告中应描述相应的特征提取方法并略述实现过程）  2、设计的界面中要具备功能：任选1个工件作为目标，以上述实现的特征提取方法识别该目标的工件类型（即序号），并显示该判别基准特征的数据。  3、有可能的话试用聚类、训练或其他方法对这些工件进行分类。 -err