-
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
- 2022-05-17 22:23:13下载
- 积分:1
-
可以实现的热区,好玩
可以实现的热区,好玩-heat can be achieved, fun
- 2022-03-21 00:07:27下载
- 积分:1
-
属性页示例
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。
- 2022-11-05 02:05:03下载
- 积分:1
-
cubic Bezier curve Although the Second Principle Bezier curve with a similar, bu...
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
- 2022-06-13 15:42:13下载
- 积分:1
-
这是我刚完成的弹击方块游戏,用netBeans打开运行MyFrame.java就ok了...
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
- 2022-01-24 10:07:22下载
- 积分:1
-
数学3d的变换程序
数学3d的变换程序-mathematical transformation process
- 2022-09-13 19:00:03下载
- 积分:1
-
mixer in java multi purpose
mixer in java multi purpose
- 2022-11-27 12:45:03下载
- 积分:1
-
With vc the realization of B
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!
- 2022-07-22 16:50:39下载
- 积分:1
-
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)
- 2022-08-18 20:30:27下载
- 积分:1
-
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...
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
- 2022-01-25 21:15:15下载
- 积分:1