CNN 11 tezhengtiqu
所属分类：其他
开发工具：matlab
文件大小：39476KB
下载次数：192
上传日期：2018-05-01 16:12:19
上 传 者：
乳山人
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)
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