CNN 11 tezhengtiqu

代码说明：

  卷积神经网络，用于故障诊断，取得很好的识别效果(Convolution neural network is used for fault diagnosis and achieves good recognition results.)

文件列表：

CNN 11 tezhengtiqu\allcomb.m, 2618 , 2015-12-01
CNN 11 tezhengtiqu\bishedata_jiang.mat, 24907516 , 2018-04-12
CNN 11 tezhengtiqu\cnnapplygrads.m, 904 , 2018-04-11
CNN 11 tezhengtiqu\cnnbp.m, 4317 , 2018-04-11
CNN 11 tezhengtiqu\cnnff.m, 3421 , 2018-04-16
CNN 11 tezhengtiqu\cnnnumgradcheck.m, 3430 , 2015-12-01
CNN 11 tezhengtiqu\cnnsetup.m, 3087 , 2018-04-16
CNN 11 tezhengtiqu\cnntest.m, 257 , 2018-04-18
CNN 11 tezhengtiqu\cnntrain.m, 2599 , 2018-04-29
CNN 11 tezhengtiqu\data_curve.m, 778 , 2018-04-25
CNN 11 tezhengtiqu\divide_TrainTest.m, 609 , 2018-04-19
CNN 11 tezhengtiqu\envelope_spectrum.m, 818 , 2018-04-16
CNN 11 tezhengtiqu\expand.m, 1958 , 2015-12-01
CNN 11 tezhengtiqu\feature_envelope_extraction.m, 888 , 2018-04-16
CNN 11 tezhengtiqu\feature_extraction.m, 897 , 2018-04-19
CNN 11 tezhengtiqu\feature_frequency_extraction.m, 904 , 2018-04-16
CNN 11 tezhengtiqu\feature_main.m, 1680 , 2018-04-17
CNN 11 tezhengtiqu\feature_process_CNN.m, 2564 , 2018-04-27
CNN 11 tezhengtiqu\feature_time_extraction.m, 2490 , 2018-04-15
CNN 11 tezhengtiqu\flicker.m, 208 , 2015-12-01
CNN 11 tezhengtiqu\flipall.m, 93 , 2018-04-11
CNN 11 tezhengtiqu\fliplrf.m, 543 , 2015-12-01
CNN 11 tezhengtiqu\flipudf.m, 576 , 2015-12-01
CNN 11 tezhengtiqu\frequency_spectrum.m, 421 , 2018-04-16
CNN 11 tezhengtiqu\gear_fault_featuredata.mat, 448941 , 2018-04-30
CNN 11 tezhengtiqu\gear_fault_featuredata_jiang.mat, 298975 , 2018-04-30
CNN 11 tezhengtiqu\im2patches.m, 313 , 2015-12-01
CNN 11 tezhengtiqu\isOctave.m, 108 , 2015-12-01
CNN 11 tezhengtiqu\makeLMfilters.m, 1895 , 2015-12-01
CNN 11 tezhengtiqu\mnist_uint8.mat, 14735220 , 2015-12-01
CNN 11 tezhengtiqu\myOctaveVersion.m, 169 , 2015-12-01
CNN 11 tezhengtiqu\normalize.m, 97 , 2015-12-01
CNN 11 tezhengtiqu\patches2im.m, 242 , 2015-12-01
CNN 11 tezhengtiqu\randcorr.m, 283 , 2015-12-01
CNN 11 tezhengtiqu\randp.m, 2083 , 2015-12-01
CNN 11 tezhengtiqu\rnd.m, 49 , 2015-12-01
CNN 11 tezhengtiqu\sigm.m, 48 , 2015-12-01
CNN 11 tezhengtiqu\sigmrnd.m, 126 , 2015-12-01
CNN 11 tezhengtiqu\softmax.m, 256 , 2015-12-01
CNN 11 tezhengtiqu\tanh_opt.m, 54 , 2015-12-01
CNN 11 tezhengtiqu\testing_accuracy.tif, 51533 , 2018-04-30
CNN 11 tezhengtiqu\testing_error.tif, 49093 , 2018-04-30
CNN 11 tezhengtiqu\training_accuracy.tif, 51347 , 2018-04-30
CNN 11 tezhengtiqu\training_error.tif, 48795 , 2018-04-30
CNN 11 tezhengtiqu\visualize.m, 1072 , 2015-12-01
CNN 11 tezhengtiqu\whiten.m, 183 , 2015-12-01
CNN 11 tezhengtiqu\zscore.m, 137 , 2015-12-01