网上的一个BP算法实现数字识别的demo，希望能对其开发者有帮助...

运用神经网络的方法先将数据分类分析,然后再将未知类归类-The use of neural network analysis of data classification methods first, and then classify the unknown category

基本遗传算法 里面的函数可自行更换 适合初学者 容易理解-A function of the basic genetic algorithm which can be suitable for beginners is easy to understand on their own replacement

BP网络神经元控制器BPNNC-BPNNC of the BPnetwork neuron controller

关于 模式识别 中 C均值 和ISODATA 算法的C++实现 程序以一个二维的数据为例 真实的展现出两类算法的效果-implement C_Means and ISODATA algorith. Taking 2-D data foe example, show the effect of the two algoriths.

LM编程算法，在神经网络中有很大应用之处，神经网络源代码,及BP网络训练界面,其中的L-M算法非常实用 -LM programming algorithm, in a large neural network applications, the neural network source code, and the BP network training interface, in which the LM algorithm is very practical

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.

非线性程序之模式识别与控制系统设计.-nonlinear pattern recognition procedures and control system design.

BP人工神经网络算法，用java代码实现，用scilab图像显示，案例是港口吞吐量的预测-BP artificial neural network algorithm, using java code, using scilab image display, case is the throughput of the port prediction

the matlab code of ginisvm - an svm implementation good at probability regression.-the matlab code of ginisvm- an svm implementation good at probability regression.

关于人工神经网络的实用书籍，适合初学者，以及有一定基础的读者学习-Information on artificial neural networks and practical books, suitable for beginners, as well as readers of a certain basis for learning