文件名称:NeuralrecognitionSystem
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 210kb
- 下载次数：
- 0次
- 提 供 者：
- 王**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
基于神经网络的文字识别系统
本目录主要包括：文档和两个源代
其中源代码是识别程序的，另一个是矩阵类库的。
已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network character recognition system catalog include: the two source documents and source code generation is to identify which procedures, and the other is a matrix class library. Training has been good to preserve the right of the value of the network, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture to identify. Of course, we can use training samples to train the network, but attention should be paid to the choice of training samples, or may be very low recognition rate. Training sample selection principle is that as far as possible representative, not too long training time in the case of the number of training samples as much as possible.
本目录主要包括：文档和两个源代
其中源代码是识别程序的，另一个是矩阵类库的。
已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network character recognition system catalog include: the two source documents and source code generation is to identify which procedures, and the other is a matrix class library. Training has been good to preserve the right of the value of the network, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture to identify. Of course, we can use training samples to train the network, but attention should be paid to the choice of training samples, or may be very low recognition rate. Training sample selection principle is that as far as possible representative, not too long training time in the case of the number of training samples as much as possible.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
NeuralrecognitionSystem
.......................\Readme.txt
.......................\数字识别系统源代码
.......................\..................\Bp.h
.......................\..................\ChildView.cpp
.......................\..................\ChildView.h
.......................\..................\DBpParamater.cpp
.......................\..................\DBpParamater.h
.......................\..................\DIBAPI.CPP
.......................\..................\DIBAPI.H
.......................\..................\DigitRec.aps
.......................\..................\DigitRec.clw
.......................\..................\DigitRec.cpp
.......................\..................\DigitRec.dsp
.......................\..................\DigitRec.dsw
.......................\..................\DigitRec.exe
.......................\..................\DigitRec.h
.......................\..................\DigitRec.ncb
.......................\..................\DigitRec.opt
.......................\..................\DigitRec.plg
.......................\..................\DigitRec.rc
.......................\..................\INPUT1.cpp
.......................\..................\INPUT1.h
.......................\..................\MainFrm.cpp
.......................\..................\MainFrm.h
.......................\..................\mydiblib.h
.......................\..................\ReadMe.txt
.......................\..................\res
.......................\..................\...\DigitRec.rc2
.......................\..................\Resource.h
.......................\..................\StdAfx.cpp
.......................\..................\StdAfx.h
.......................\..................\使用说明.txt
.......................\..................\测试图片
.......................\..................\........\num
.......................\..................\........\result.txt
.......................\..................\........\whi.dat
.......................\..................\........\win.dat
.......................\..................\........\测试图片6.bmp
.......................\..................\........\测试图片7.bmp
.......................\..................\........\训练样本.bmp
.......................\矩阵类库源代码
.......................\..............\test.cpp
.......................\..............\test.dsp
.......................\..............\test.dsw
.......................\..............\tmat.h
.......................\..............\tvec.h
.......................\Readme.txt
.......................\数字识别系统源代码
.......................\..................\Bp.h
.......................\..................\ChildView.cpp
.......................\..................\ChildView.h
.......................\..................\DBpParamater.cpp
.......................\..................\DBpParamater.h
.......................\..................\DIBAPI.CPP
.......................\..................\DIBAPI.H
.......................\..................\DigitRec.aps
.......................\..................\DigitRec.clw
.......................\..................\DigitRec.cpp
.......................\..................\DigitRec.dsp
.......................\..................\DigitRec.dsw
.......................\..................\DigitRec.exe
.......................\..................\DigitRec.h
.......................\..................\DigitRec.ncb
.......................\..................\DigitRec.opt
.......................\..................\DigitRec.plg
.......................\..................\DigitRec.rc
.......................\..................\INPUT1.cpp
.......................\..................\INPUT1.h
.......................\..................\MainFrm.cpp
.......................\..................\MainFrm.h
.......................\..................\mydiblib.h
.......................\..................\ReadMe.txt
.......................\..................\res
.......................\..................\...\DigitRec.rc2
.......................\..................\Resource.h
.......................\..................\StdAfx.cpp
.......................\..................\StdAfx.h
.......................\..................\使用说明.txt
.......................\..................\测试图片
.......................\..................\........\num
.......................\..................\........\result.txt
.......................\..................\........\whi.dat
.......................\..................\........\win.dat
.......................\..................\........\测试图片6.bmp
.......................\..................\........\测试图片7.bmp
.......................\..................\........\训练样本.bmp
.......................\矩阵类库源代码
.......................\..............\test.cpp
.......................\..............\test.dsp
.......................\..............\test.dsw
.......................\..............\tmat.h
.......................\..............\tvec.h