prepared by the genetic algorithm, covering more content, documents

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.

径向基函数网络应用实例-RBF Network Application

网上的大部分BP实现曲线拟合都使用MATLAB库函数，这不利于读者理解BP神经网络的算法。本文用C源码实现MATLAB库函数.-BP to achieve most of the Internet curve fitting using MATLAB library function, this does not help readers understand the BP neural network algorithm. In this paper, the realization of C-source MATLAB library functions.

这是一个人工智能方面专家系统的例子，建立动物识别专家系统的规则库，并用与/或图来描述这个规则库。-This is an area of artificial intelligence expert system for example, the establishment of animal recognition expert system rule base and used and/or graph to describe the rule base.

一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)-A neural network prototype code, for example for

A SVM classifier, with detail documents.

该算法为模糊自适应整定的PID控制算法，该算法在matlab环境下开发，可以直接运行 -The algorithm for fuzzy adaptive tuning of the PID control algorithm in the matlab environment development, can be directly run

基本的神经网络计算TLU，对于所有学习神经归纳的第一个算法来说，单个神经容易做训练，虽然不会有问题的异或解，但它是人类神经史上的第一步。

本程序可以对输入.avi 序列中的车辆数进行计算，准确性非常高，是一个值得参考的代码:)-This procedure can be input. Avi sequence to calculate the number of vehicles, accuracy is very high, is a reference to the code:)