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VC_BP NUMBER RECOGNITION
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Speech/Voice recognition/combine
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Update : 2012-11-26
Size : 722kb
Downloaded :0次
Author :
张伟华
About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
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VC_ BP network noise lattice containing the identification number, a complete description and use, voice recognition for a great help beginners
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VC_基于BP网络的含噪声点阵数字的识别
...................................\VC源代码
...................................\........\BPnet.aps
...................................\........\BPnet.clw
...................................\........\BPnet.cpp
...................................\........\BPnet.dsp
...................................\........\BPnet.dsw
...................................\........\BPnet.h
...................................\........\BPnet.rc
...................................\........\ChildView.cpp
...................................\........\ChildView.h
...................................\........\MainFrm.cpp
...................................\........\MainFrm.h
...................................\........\matrix_op.h
...................................\........\pred.h
...................................\........\ReadMe.txt
...................................\........\Release
...................................\........\.......\BPnet.exe
...................................\........\.......\网络最终权值1.txt
...................................\........\.......\训练误差记录1.txt
...................................\........\res
...................................\........\...\BPnet.rc2
...................................\........\...\Toolbar.bmp
...................................\........\Resource.h
...................................\........\StdAfx.cpp
...................................\........\StdAfx.h
...................................\基于BP网络的含噪声数字识别.pdf
...................................\程序运行抓图
...................................\............\训练时间2.gif
...................................\............\训练时间2加入动量因子.gif
...................................\............\训练时间3.gif
...................................\............\训练时间3加入动量因子.gif
...................................\............\训练过程的误差曲线1.gif
...................................\............\训练过程的误差曲线2.gif
...................................\............\识别结果1.gif
...................................\............\识别结果2.gif
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