本人做的遗传算法源代码，在FORTRAN下打开即可以，可在WINDOUS环境下运行...

朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J

我收集整理的有关于系统辨识的资料和一些方法的优缺点-I have collated the information on the system identification and the advantages and disadvantages of some methods

c语言实现人工智能神经元网络boltzman算法源码-c language artificial intelligence neural network algorithm source Boltzman

本书就使用matlab实现bp神经网络进行了较为详细的说明，书中包含许多具体的实例说明，希望能为大家带来一定的帮助。-book on the use of Matlab bp neural network to achieve a more detailed description of the book contains many specific examples, we hope to bring help to a certain extent.

这是反向传播算法的C++程序，对于研究BPNN的人来说，具有很好的参考价值-This is the back-propagation algorithm C program for studying the BPNN people, have a good reference value

模式识别分类程序，贝叶斯，神经网络分类训练程序，很不错啊-the classification procedures, Bayesian neural network classifier training procedures, and it is very responds :

模式识别的一些预处理知识源程序-pattern recognition pretreatment some knowledge source

神经网络中自适应谐振理论模型实现的C语言源程序！-Neural network adaptive resonance theory model of the C language source code!

利用VC实现的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-The source code of bayes classfication using VC

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.