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EMDDBN

于 2020-07-09 发布
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代码说明：

说明：  EMDDBN所有程序，用于进行对时序信号的预测，里面包括了测试所用的数据(Emddbn main program)

文件列表：

EMDDBN\AEMO_importdata_hah.m, 991 , 2017-08-11
EMDDBN\AEMO_importdata_one.m, 991 , 2017-08-11
EMDDBN\Datasets\AEMO_NSW.mat, 68825 , 2014-09-16
EMDDBN\Datasets\AEMO_QLD.mat, 66211 , 2015-01-04
EMDDBN\Datasets\AEMO_SA.mat, 58170 , 2014-09-16
EMDDBN\Datasets\AEMO_TAS.mat, 55411 , 2014-09-16
EMDDBN\Datasets\AEMO_VIC.mat, 67017 , 2015-07-02
EMDDBN\deeplearning\.travis.yml, 249 , 2014-06-26
EMDDBN\deeplearning\CAE\caeapplygrads.m, 1219 , 2014-06-26
EMDDBN\deeplearning\CAE\caebbp.m, 917 , 2014-06-26
EMDDBN\deeplearning\CAE\caebp.m, 1011 , 2014-06-26
EMDDBN\deeplearning\CAE\caedown.m, 259 , 2014-06-26
EMDDBN\deeplearning\CAE\caeexamples.m, 754 , 2014-06-26
EMDDBN\deeplearning\CAE\caenumgradcheck.m, 3618 , 2014-06-26
EMDDBN\deeplearning\CAE\caesdlm.m, 845 , 2014-06-26
EMDDBN\deeplearning\CAE\caetrain.m, 1148 , 2014-06-26
EMDDBN\deeplearning\CAE\caeup.m, 489 , 2014-06-26
EMDDBN\deeplearning\CAE\max3d.m, 173 , 2014-06-26
EMDDBN\deeplearning\CAE\scaesetup.m, 1937 , 2014-06-26
EMDDBN\deeplearning\CAE\scaetrain.m, 270 , 2014-06-26
EMDDBN\deeplearning\CNN\cnnapplygrads.m, 575 , 2014-06-26
EMDDBN\deeplearning\CNN\cnnbp.m, 2141 , 2014-06-26
EMDDBN\deeplearning\CNN\cnnff.m, 1774 , 2014-06-26
EMDDBN\deeplearning\CNN\cnnnumgradcheck.m, 3430 , 2014-06-26
EMDDBN\deeplearning\CNN\cnnsetup.m, 2020 , 2014-06-26
EMDDBN\deeplearning\CNN\cnntest.m, 193 , 2014-06-26
EMDDBN\deeplearning\CNN\cnntrain.m, 845 , 2014-06-26
EMDDBN\deeplearning\CONTRIBUTING.md, 544 , 2014-06-26
EMDDBN\deeplearning\create_readme.sh, 744 , 2014-06-26
EMDDBN\deeplearning\data\mnist_uint8.mat, 14735220 , 2014-06-26
EMDDBN\deeplearning\DBN\dbnsetup.m, 557 , 2014-06-26
EMDDBN\deeplearning\DBN\dbntrain.m, 232 , 2014-06-26
EMDDBN\deeplearning\DBN\dbnunfoldtonn.m, 425 , 2014-06-26
EMDDBN\deeplearning\DBN\rbmdown.m, 90 , 2014-06-26
EMDDBN\deeplearning\DBN\rbmtrain.m, 1401 , 2014-06-26
EMDDBN\deeplearning\DBN\rbmup.m, 89 , 2014-06-26
EMDDBN\deeplearning\LICENSE, 1313 , 2014-06-26
EMDDBN\deeplearning\NN\nnapplygrads.m, 628 , 2014-06-26
EMDDBN\deeplearning\NN\nnbp.m, 1638 , 2014-06-26
EMDDBN\deeplearning\NN\nnchecknumgrad.m, 704 , 2014-06-26
EMDDBN\deeplearning\NN\nneval.m, 811 , 2014-06-26
EMDDBN\deeplearning\NN\nnff.m, 1848 , 2019-04-30
EMDDBN\deeplearning\NN\nnpredict.m, 192 , 2014-06-26
EMDDBN\deeplearning\NN\nnsetup.m, 1844 , 2014-06-26
EMDDBN\deeplearning\NN\nntest.m, 184 , 2014-06-26
EMDDBN\deeplearning\NN\nntrain.m, 2415 , 2019-04-22
EMDDBN\deeplearning\NN\nnupdatefigures.m, 1858 , 2014-06-26
EMDDBN\deeplearning\README.md, 8730 , 2014-06-26
EMDDBN\deeplearning\README_header.md, 2256 , 2014-06-26
EMDDBN\deeplearning\REFS.md, 950 , 2014-06-26
EMDDBN\deeplearning\SAE\saesetup.m, 132 , 2014-06-26
EMDDBN\deeplearning\SAE\saetrain.m, 308 , 2014-06-26
EMDDBN\deeplearning\tests\runalltests.m, 165 , 2014-06-26
EMDDBN\deeplearning\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2014-06-26
EMDDBN\deeplearning\tests\test_example_CNN.m, 981 , 2014-06-26
EMDDBN\deeplearning\tests\test_example_DBN.m, 1031 , 2014-06-26
EMDDBN\deeplearning\tests\test_example_NN.m, 3247 , 2014-06-26
EMDDBN\deeplearning\tests\test_example_SAE.m, 934 , 2014-06-26
EMDDBN\deeplearning\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2014-06-26
EMDDBN\deeplearning\util\allcomb.m, 2618 , 2014-06-26
EMDDBN\deeplearning\util\expand.m, 1958 , 2014-06-26
EMDDBN\deeplearning\util\flicker.m, 208 , 2014-06-26
EMDDBN\deeplearning\util\flipall.m, 80 , 2014-06-26
EMDDBN\deeplearning\util\fliplrf.m, 543 , 2014-06-26
EMDDBN\deeplearning\util\flipudf.m, 576 , 2014-06-26
EMDDBN\deeplearning\util\im2patches.m, 313 , 2014-06-26
EMDDBN\deeplearning\util\isOctave.m, 108 , 2014-06-26
EMDDBN\deeplearning\util\makeLMfilters.m, 1895 , 2014-06-26
EMDDBN\deeplearning\util\myOctaveVersion.m, 169 , 2014-06-26
EMDDBN\deeplearning\util\normalize.m, 97 , 2014-06-26
EMDDBN\deeplearning\util\patches2im.m, 242 , 2014-06-26
EMDDBN\deeplearning\util\randcorr.m, 283 , 2014-06-26
EMDDBN\deeplearning\util\randp.m, 2083 , 2014-06-26
EMDDBN\deeplearning\util\rnd.m, 49 , 2014-06-26
EMDDBN\deeplearning\util\sigm.m, 48 , 2014-06-26
EMDDBN\deeplearning\util\sigmrnd.m, 126 , 2014-06-26
EMDDBN\deeplearning\util\softmax.m, 256 , 2014-06-26
EMDDBN\deeplearning\util\tanh_opt.m, 54 , 2014-06-26
EMDDBN\deeplearning\util\visualize.m, 1072 , 2014-06-26
EMDDBN\deeplearning\util\whiten.m, 183 , 2014-06-26
EMDDBN\deeplearning\util\zscore.m, 137 , 2014-06-26
EMDDBN\EMD_DBN_hah.m, 3644 , 2019-02-20
EMDDBN\EMD_DBN_one.m, 3806 , 2019-02-20
EMDDBN\errormeasure.m, 631 , 2017-03-30
EMDDBN\errperf.m, 5289 , 2019-04-22
EMDDBN\nnpredicty.m, 140 , 2014-07-06
EMDDBN\package_emd\bugfix.sh, 216 , 2015-03-11
EMDDBN\package_emd\EMDs\cemdc.m, 2354 , 2015-03-11
EMDDBN\package_emd\EMDs\cemdc2.m, 2362 , 2015-03-11
EMDDBN\package_emd\EMDs\cemdc2_fix.m, 2312 , 2015-03-11
EMDDBN\package_emd\EMDs\cemdc_fix.m, 2305 , 2015-03-11
EMDDBN\package_emd\EMDs\emd.m, 22275 , 2015-03-11
EMDDBN\package_emd\EMDs\emdc.m, 2280 , 2015-03-11
EMDDBN\package_emd\EMDs\emdc_fix.m, 2141 , 2015-03-11
EMDDBN\package_emd\EMDs\emd_local.m, 9897 , 2015-03-11
EMDDBN\package_emd\EMDs\emd_online.m, 26315 , 2015-03-11
EMDDBN\package_emd\EMDs\make_emdc.m, 1361 , 2015-03-11
EMDDBN\package_emd\EMDs\src\cemdc.c, 4969 , 2015-03-11
EMDDBN\package_emd\EMDs\src\cemdc2.c, 4983 , 2015-03-11
EMDDBN\package_emd\EMDs\src\cemdc2_fix.c, 4213 , 2015-03-11

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