支持向量机模式识别技术及其在机械故障诊断中的应用

数据挖掘c4.5算法（vc语言版本）欢迎大家下载测试！！！！ - The data mining c4.5 algorithm (vc language edition) welcome everybody downloading test! ! ! !

use swarm intelligence to simulate network routings in omnet-use swarm intelligence to simulate networ k routings in omnet

用于求解TSP问题的c++程序，已经试运行过-BasicAntColon AlgorithmC++forTSP

BP批处理源代码，可自由选择三层或多次网络，和神经元数目-BP batch source code, the freedom to choose three or more networks and the number of neurons

使用遗传算法训练的神经网络VC++源代码，经测试，该算法有效。- The use heredity algorithm training nerve network VC source code, after the test, this algorithm is effective.

模式识别中的K－均值算法演示-pattern recognition, the K-means algorithm demo

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.

用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the program automatically gives Classification Interface

matlab进行模糊pid仿真的源代码，效果一般，但已在本人毕业论文中实用-pid fuzzy matlab simulation of source code, the effect of the general, but in my dissertation in the practical

双峰和多峰函数最大值的遗传算法求解 采用前向网络-Bimodal and multimodal function maximum use of the genetic algorithm to the network