用vc＋＋实现的BP神经网络解决异或问题的源代码。非常经典。...

用vc＋＋实现的BP神经网络解决异或问题的源代码。非常经典。-Using vc realize the BP neural network to solve XOR problem

可以实现的热区,好玩-heat can be achieved, fun

属性页对话框是将多个对话框集中起来，通过标签将各个页面激活。与属性页对话框相关的类主要包括CPropertySheet类和CPropertyPage类。一个属性页对话框可以包括一个CPropertySheet类和多个CPropertyPage类对象。        CPropertySheet类是CWnd类的派生类，其对象作为属性对话框的窗口框架出现，主要实现管理各个属性页面的作用。其用于管理属性页对话框的主要成员函数详见msdn。

三次Bezier曲线虽然原理跟二次Bezier曲线的类似，但是具体编程时还是有很多地方需要注意，因实际应用中三次Bezier曲线的作用越来越大，所以编了此程序以供参考-cubic Bezier curve Although the Second Principle Bezier curve with a similar, but specific programming when there are still many areas that need attention, according to the actual application of cubic Bezier curves bigger role, so part of this program for reference

这是我刚完成的弹击方块游戏，用netBeans打开运行MyFrame.java就ok了-This is what I have just completed the shells hit the ideographic games, netBeans open with running ok on the MyFrame.java

数学3d的变换程序-mathematical transformation process

mixer in java multi purpose

用vc实现B样条编程，主要根据定义编程，简单易懂！-With vc the realization of B-spline programming, primarily on the basis of the definition of programming, easy-to-read!

source目录下为本章介绍的源程序 功能是行程编码，JPEG压缩编码（基本系统）-source directory for the chapter describes the functions of the journey is the source coding, JPEG compression coding (basic system)

目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development