The first step: Training Network. The use of training samples for training. (This process may or may not be training, because I have trained network parameters saved, and readers can be directly used to identify) the second step: Identify. First, open the image (256 colors) again, normalized to deal with, click on the

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.h
DigitRec.rc
INPUT1.cpp
INPUT1.h
MainFrm.cpp
MainFrm.h
mydiblib.h
ReadMe.txt
Release
.......\DigitRec.exe
.......\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
res

...\DigitRec.rc2

Resource.h
StdAfx.cpp
StdAfx.h
使用说明.txt

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