Vc6.0 procedures used to prepare, transform and DCT bp neural network recognition based on discrete cosine. Use ORL face for image DCT lowpass filter, and then BPNN training or recognition, good recognition effect within the sample space. The design process of the reference site yaxuan v3.3 (http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html) (The program does not contain particle swarm correction weights and network features such as the original restructuring but adjusted the order of training samples) thanks to the original, if tort I will remove this upload

v1.9\bpNN.cpp
....\bpNN.dsp
....\bpNN.dsw
....\bpNN.h
....\bpNN.ncb
....\bpNN.opt
....\bpNN.plg
....\Debug\bpNN.obj
....\.....\Image.obj
....\.....\ImageList.obj
....\.....\MAIN.exe
....\.....\MAIN.ilk
....\.....\MAIN.obj
....\.....\MAIN.pch
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....\Image.cpp
....\Image.dsp
....\Image.dsw
....\Image.h
....\Image.ncb
....\Image.opt
....\Image.plg
....\ImageList.cpp
....\ImageList.dsp
....\ImageList.dsw
....\ImageList.h
....\ImageList.ncb
....\ImageList.opt
....\ImageList.plg
....\imagelist_test.txt
....\imagelist_test全.txt
....\imagelist_train.txt
....\imagelist_train全.txt
....\MAIN.cpp
....\MAIN.dsp
....\MAIN.dsw
....\MAIN.ncb
....\MAIN.opt
....\MAIN.plg
....\ORL_DATABASE\README.txt
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