PCA codes for face detection

本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information

BLDC建模及神经网络控制，建模讲述的很详细，难得的论文。-BLDC modeling and neural network control, modeling, described in great detail, rare papers.

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

BP神经网络C＋＋实现-BP neural network implemented by C++

PUMA560机器人正解程序包含六个关节，计算时只计算前三个关节-Positive Solutions PUMA560 robot contains six joints, the calculation only the first three joints

用c语言实现人工智能神经元网络的adaline算法-C language used in artificial intelligence neural network algorithm adaline

matlab环境下，对puma560机器人的工作空间运动轨迹做了轨迹规划，得到轨迹云图-matlab environment, the robot work space puma560 trajectories make the trajectory planning, the trajectory cloud

神经网络c++源程序.rar-neural network source. Rar

用粒子群优化算法计算给定图像的平滑度。