经典的SOM人工神经网络例子源码

用遗传算法写的软件,非常有用! 值得大家一看!-using genetic algorithms to write the software, very useful! Worth a look!

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.

遗传算法解决TSP问题,在vb开发环境中，在网上找的。-Genetic algorithm to solve TSP problems in vb development environment, in the Internet looking for.

模式识别在珠宝鉴定中的应用，该文是基于模式识别应用领域的文档类文献。-Pattern Recognition in jewelry appraisal application, the article is based on pattern recognition applications of the document class literature.

一个外国人写的字符识别训练源码，VC++源码，有源码、说明及演示可执行程序，对学习和研究模式识别很有帮助。-written by a foreigner Character Recognition training source, VC source, a source that, and the demonstration of the executable, on learning and pattern recognition research helpful.

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

是各种常用算法的集合，又递归、神经网络、遗传、枚举、排序、圆周率求解等等。是学习的好材料。-Is a collection of various commonly used algorithms and recursive, neural networks, genetic, enumeration, sorting, solving, etc. pi. Is a good learning materials.

用遗传算法进行排序-genetic sequencing algorithms

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

资源分配神经网络解决Mackey-Glass时间序列预测函数逼近问题-Neural network to solve the allocation of resources Mackey-Glass time series prediction function approximation problem