这个程序是一个模糊逻辑控制器，用来控制一个简单的水箱模型，比较简单，是我自己设计的，或许能够给大家一些帮助。-This process is a fuzzy logic controller, used to control a simple tank model, relatively simple, is my own design, may be able to give you some help.

用于机器人的识别路程的优化,用与其中，去得很好的结果-For the robot to identify the optimal way to use and which to very good results

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping

这个程序是个神经网络提供学习能力的实例，是前一个simpleann的功能加强版。-this procedure is a neural network learning ability example is the former simpleann an enhanced version of the function.

介绍了神经网络模式识别的基本知识，适合于模式识别领域的人员-it introduces the ABC of the pattern recognation of NN, it is for the people of pattern recognation

遗传算法的函数优化sga-genetic algorithm optimization function sga

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.

遗传算法-理论和应用与软件实现，这是一本比较好的书-Genetic algorithms- theory and application and software implementation, this is a good book

一个不错的自适应滤波演示程序,包括固定带通滤波器和可变带通滤波器的演示.-a good demonstration of adaptive filtering procedures, including band-pass filter fixed and variable bandpass filter demonstration.