文件中包含某老师关于智能优化计算课程中的遗传算法部分的讲义，其中包含详细的例子及源代码。...

C 语言编缉神经网络工具-neural network tools edited by C language

用AMZI做的只能西湖地图，初学者做，人工智能-AMZI do with the only West Lake maps, beginners do, and artificial intelligence

多步预测,设计简单规范,基于信息建模,具有很强的抗干扰性和鲁棒性.-Multi-step prediction, the design of simple norms, based on information modeling, which has strong anti-jamming and robustness.

简单遗传算法(SGA) 主要算法模块有:选择 交叉 变异 (三个遗传操作) 和 群体更新 -simple genetic algorithm (SGA) algorithm for the main modules are : choice of crossover and mutation (3 Genetic Manipulation) and update groups

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.

用BP算法实现数字识别功能，可以显示状态变化图-BP algorithm digital identification function can demonstrate that changes in state plans

神经网络和C++源代码(BP)，非常好的一些例程，仅供参考。-Neural network and C++ Source code (BP), very good number of routines, for informational purposes only.

人脸识别：利用奇异值分解和KL变换的投影，是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article

人脸检测定位的示例代码.rar VC++源码，具有一定参考价值,我也是从别处下载下来的。-Face Detection positioning the sample code. Rar VC source, which have a certain value, I also downloaded from the elsewhere.

tutorials for learning protege(open source softwar to design the ontology)