遗忘因子法递推算法用于估计数学模型的参数,精确度较高!

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.

该算法采用另外一种策略，结合进化策略和遗传算法，达到优化的目地-The algorithm uses a different strategy, combining evolutionary strategy and genetic algorithm to optimize the purpose

模式识别中的寻路算法：A星算法的实现及简单应用-Pattern Recognition routing algorithm: A Star algorithm and a simple application

fan_nncC语言神经网络程序包-fan_nncC language neural network package

BugBots是一个游戏，描述它的最好方式是它是一个测试人工智能的框架。 来源: http://sourceforge.net/projects/bugbots/-BugBots is a game, describing it as the best method is that it is a test of artificial intelligence framework. Source : http://sourceforge.net/projects/bugbots/

基于遗传算法的人工生命模拟，C++源代码-Based on genetic algorithm artificial life simulation, C++ Source code

搜索文章中的文字 更快找到符合要求的内容-English text article more quickly find the content to meet the requirements

决策树 C45Rule-PANE算法 解决了决策的问题,是从QUILAN算法修改而成-Decision Tree C45Rule- PANE algorithm to solve the problem of decision-making, from QUILAN algorithm revisions

基本蚂蚁算法及其改进算法求解NP问题的论文汇总，而且全是中文，对于初学者一定有帮助-The basic ant algorithm and its improved algorithm for solving NP problems summary papers, and they are all Chinese, will certainly be helpful for beginners

机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round