利用模拟退火法求解TSP问题 可以求得50个城市的精确解

多层神经网络范例 http://www.codeproject.com/cpp/MLP.asp?df=100&forumid=148477&exp=0&select=1141594#xx1141594-multilayer neural network model http :// www.codeproject.com/cpp/MLP.asp df = 1

4×4矩阵式键盘识别技术 * 注：为了有更多实用的实验程序供大家学习，部分程序参考网上的资源， * 在此谢谢这些无私奉献的朋友-4 × 4 matrix keyboard recognition technology* Note: in order to have more practical experimental procedures for everyone to learn some of the procedures refer to online resources,* thank these selfless dedication Friend

人工智能中九宫问题的实现，初始数据随机生成，最终状态随机生成，并用图形界面显示搜索过程-AI JiuGongTu the realization of the initial data randomly generated, the final state of random generation, and using a graphical interface shows search process

基于神经网络的pid控制器，经过仿真-based on the nerual networks pid controller,and which have benn simulated

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

人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.

我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.

网络能通过学习带正确答案的实例集自动提取“合理的”求解规则，即具有自学习能力-network can learn the correct answer with examples of automatic drawing of the "reasonable" solution rules, that is self-learning ability

这是一个简单的GA代码，为新手用户提供参考