# DigitalIdentification
基于matlab平台实现的数字识别，增加的GUI界面可以直接手写数字进行识别
基于matlab平台实现的数字识别（源码+项目说明）（增加的GUI界面可以直接手写数字进行识别）.zip
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2024-02-20
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基于matlab平台实现的数字识别（源码+项目说明）（增加的GUI界面可以直接手写数字进行识别）.zip （67个子文件） 
code_20105 
Quadruple.m 121B GUI_Croction Quadruple.m 121B FeatureBlock.m 311B SumColor.m 59B COG.m 218B QuadraticSVM.mat 600KB gui3_test.m 7KB
input.bmp 2KB gui3_test.fig 23KB TurncationTime.m 98B QuadraticSVM.m 4KB FeatureBlock.m 311B SumColor.m 59B data train-images.idx3-ubyte 44.86MB t10k-images.idx3-ubyte 7.48MB train-labels.idx1-ubyte 59KB t10k-labels.idx1-ubyte 10KB embedded_mathwork.m 3KB image_get.m 1KB ver 0.83 cnn_gui.m 12KB subsample.m 1KB preproc_data.m 1KB rot180.m 55B train_cnn.m 5KB FeatureBlock.m 311B test_dgt.m 417B cucalcMCR.m 688B SumColor.m 59B hResultText.m 0B t10k-images.idx3-ubyte 7.48MB cnet.mat 557KB back_subsample.m 1015B readMNIST_image.m 899B QuadraticSVM.mat 600KB singlestruct2cnn.m 1KB back_conv2.m 688B cutrain_cnn.m 5KB
changelog.txt 1KB mse.m 789B purelin.m 746B cnn2singlestruct.m 981B rand_std.m 941B license.txt~ 1KB changelog.txt~ 985B t10k-labels.idx1-ubyte 10KB cnn_gui.fig 10KB fastFilter2.m 125B tansig_mod.m 985B readMNIST.m 3KB preproc_image.m 394B @cnn sim.m 3KB cnn.m 7KB train.m 6KB init.m 4KB calcje.m 6KB subsref.m 2KB check_finit_dif.m 2KB adapt_dw.m 4KB subsasgn.m 9KB cnn_size.m 937B calchx.m 5KB cutrain.m 7KB calcMCR.m 686B cnet_tool.m 23KB readme.txt 3KB TurncationTime.m 98B README.md 121B资源评论
