KNN和BP的算法实现。输入一系列的样本值，进行训练和分类。源码是实现了两个分类器，已经调试通过

人工神经网络bp算法的matlab实现，对bp算法的matlab实现进行了简要的试探-realizing bp arithmetic of neural networks by matlab and exploring it simply.

％ RBF 神经网络用于函数拟合　 ％ 使用平台 - Matlab6.5- RBF neural network used for function fitting platform- Matlab6.5

一种运用蚂蚁算法和遗传算法解决旅行商问题的混合优化程序-an ant algorithm and the use of genetic algorithms to solve the traveling salesman problem hybrid optimization procedures

遗传算法工具箱C++，本为Linux系统设计，现在改为在VC下能顺利编译而不需通过任何修改。基于面向对象方法设计，便于使用和扩展。-Genetic Algorithm Toolbox C++, This for the Linux system design, is now in the VC under the smooth adoption of the compiler without any changes. Method based on object-oriented design, easy to use and expand.

运用神经网络的方法先将数据分类分析,然后再将未知类归类-The use of neural network analysis of data classification methods first, and then classify the unknown category

使用模拟退火算法解决TSP问题，该程序中的模拟退火没有采用复杂的运算，实现了一个比较简单但运行高效的算法-using simulated annealing algorithm to solve TSP, the process of simulated annealing without the use of complex arithmetic, achieve a relatively simple but efficient operation of the algorithm

基于canny的灰色预测和模式识别,标定的一种做法是：在一块平板上画若干个点， 同时用这两部相机照相，分别得到这些点在它们像平面上的像点，利用这两组像点的几何关系就可以得到这两部相机的相对位置。然而，无论在物平面或像平面上我们都无法直接得到没有几何尺寸的“点”。实际的做法是在物平面上画若干个圆（称为靶标），它们的圆心就是几何的点了。而它们的像一般会变形，如图1所示，所以必须从靶标上的这些圆的像中把圆心的像精确地找到，标定就可实现。-Based on the gray canny prediction and pattern recognition, calibration approach is to: a plate painted in a number of points, at the same time with these two cameras camera, respectively, as these points in their plane as points, the use of these two groups geometric relationship between the image point can be that the relative positions of two cameras. However, in terms of objects such as plane or plane, we can not directly be no geometry point. Actual practice is complex plane painted in a number of round (known as targets), their geometric center of a circle is the point. And they generally like deformation, as shown in Figure 1, it must target these round, like in the center of a circle of like to find precise, calibration can achieve.

程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm

这是目前网上所能找到的最全面的adaboost的C++算法，但是需要自己训练的数据-This is the Internet can find the most comprehensive adaboost C algorithms, However, it needs its own training data

遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas