用于求解TSP的蚁群算法，C 语言 已经运行过

Counterpropagation Network Vision 源码, 经典的CPN人工神经网络例子源码-Counterpropagation Network Vision source, CPN classic example ANN FOSS

Learning to Rank的一个方法，把排序问题转换成了一个分类问题，然后用支持向量机（SVM）训练出一个模型来。-Learning to Rank of a way to sort problem is transformed into a classification problem, and then use support vector machine (SVM) to train a model.

基于遗传神经网络的图像分割系统源代码，下载后直接使用-Based on genetic neural network image segmentation system source code, download direct use of

svm training example from svm.org

不确定规划 遗传算法 Goal Programming算法程序- Indefinite plan heredity algorithm Goal Programming algorithm procedure

关于细胞自动机的例子，希望有志于这领域的同仁研究-on Cellular Automata example, are interested in this area of research colleagues! !

用网格优化算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Mesh optimization algorithm used to solve the problem tsp. . . matlab prepared. Coordinate with the city for inspection.

本人这学期写八数码作业，采用三种人工智能算法，在vc2003开发完成-I write this semester eight digital operations, in three artificial intelligence algorithm, developed in vc2003

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.

改进的遗传算法，有兴趣的可以下-Improved genetic algorithms, are interested in can be done next