This is an image processing pattern recognition on the source code, including C...

人工智能中经典算法-宽度搜索和启发是搜索（A*算法）在VC环境下的实现代码，对于学习人工智能有很多帮助- In the artificial intelligence the classical algorithm- width search and the inspiration are the search (the A* algorithm) under the VC environment realization code, has regarding the study artificial intelligence very helps

遗传算法的一些应用-GA applications

包含了许多的最优化算法，有牛顿法，单纯形法等，都已运行通过了-Contains a number of optimization algorithms, there is Newton" s method, simplex method, etc., have to run through the

人工智能之八数码难题程序-8 digital artificial intelligence problems procedures

采用蚁群算法解决旅行商问题，IDL语言编写，动态现实中间过程。-Using ant colony algorithm to solve traveling salesman problem, IDL language, dynamic realities of the middle of the process.

根据粒子群算法的特点，用vc写出了源程序，可以实现粒子群的优化-According to the characteristics of particle swarm optimization, using vc wrote source code, you can achieve the particle swarm optimization

1、编制程序显示印章图像（24位真彩色位图）； 2、读出位图中每一像素点的（R，G，B）样本值； 3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布； 4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分） 5、将分类后的结果标记到原始图像上，检查其效果。 -1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.

A*算法，用来寻路，非常有用的，我历尽千辛万苦才找到的-A* algorithm, used to find the way, very useful, I experienced a lot of hard work to find the

java版的PrefixSpan算法实现，文件里包含了详细的文档说明，还有示例。-PrefixSpan algorithm. The document containing a detailed description and an example.

单层线性神经网络实例-single example of linear neural network