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文件名称:ruan zhu

  • 所属分类：
  • matlab例程
  • 资源属性：
  • 上传时间：
  • 2020-07-09
  • 文件大小：
  • 31.11mb
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  • 0次
  • 提 供 者：
  • beic*****
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

一个用DBN做时间序列预测的实例，内包括了数据(An example of using DBN to predict time series includes data)
相关搜索： dbn

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
ruan zhu\choose.fig 6677 2020-07-03
ruan zhu\choose.m 3556 2020-01-11
ruan zhu\contact.fig 7981 2020-07-03
ruan zhu\contact.m 3495 2020-07-03
ruan zhu\cross.m 306 2018-01-12
ruan zhu\DeepLearnToolbox\2019负荷.xlsx 243570 2020-03-27
ruan zhu\DeepLearnToolbox\EMDDBN\AEMO_importdata_one.m 1068 2020-07-03
ruan zhu\DeepLearnToolbox\EMDDBN\AEMO_importdata_two.m 1068 2020-07-03
ruan zhu\DeepLearnToolbox\EMDDBN\Datasets\AEMO_NSW.mat 68825 2014-09-16
ruan zhu\DeepLearnToolbox\EMDDBN\Datasets\AEMO_QLD.mat 66211 2015-01-04
ruan zhu\DeepLearnToolbox\EMDDBN\Datasets\AEMO_SA.mat 58170 2014-09-16
ruan zhu\DeepLearnToolbox\EMDDBN\Datasets\AEMO_TAS.mat 55411 2014-09-16
ruan zhu\DeepLearnToolbox\EMDDBN\Datasets\AEMO_VIC.mat 67017 2015-07-02
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\.travis.yml 249 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caeapplygrads.m 1219 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caebbp.m 917 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caebp.m 1011 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caedown.m 259 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caeexamples.m 754 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caenumgradcheck.m 3618 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caesdlm.m 845 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caetrain.m 1148 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\caeup.m 489 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\max3d.m 173 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\scaesetup.m 1937 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CAE\scaetrain.m 270 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnnapplygrads.m 575 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnnbp.m 2141 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnnff.m 1774 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnnnumgradcheck.m 3430 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnnsetup.m 2020 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnntest.m 193 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CNN\cnntrain.m 845 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\CONTRIBUTING.md 544 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\create_readme.sh 744 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\data\mnist_uint8.mat 14735220 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\dbnsetup.m 557 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\dbntrain.m 232 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\dbnunfoldtonn.m 425 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\rbmdown.m 90 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\rbmtrain.m 1401 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\DBN\rbmup.m 89 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\LICENSE 1313 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnapplygrads.m 628 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnbp.m 1638 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnchecknumgrad.m 704 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nneval.m 811 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnff.m 1848 2019-04-30
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnpredict.m 192 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnsetup.m 1844 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nntest.m 184 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nntrain.m 2415 2019-04-22
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\NN\nnupdatefigures.m 1858 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\README.md 8730 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\README_header.md 2256 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\REFS.md 950 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\SAE\saesetup.m 132 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\SAE\saetrain.m 308 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\runalltests.m 165 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_cnn_gradients_are_numerically_correct.m 552 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_example_CNN.m 981 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_example_DBN.m 1031 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_example_NN.m 3247 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_example_SAE.m 934 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\tests\test_nn_gradients_are_numerically_correct.m 749 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\allcomb.m 2618 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\expand.m 1958 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\flicker.m 208 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\flipall.m 80 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\fliplrf.m 543 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\flipudf.m 576 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\im2patches.m 313 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\isOctave.m 108 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\makeLMfilters.m 1895 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\myOctaveVersion.m 169 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\normalize.m 97 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\patches2im.m 242 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\randcorr.m 283 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\randp.m 2083 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\rnd.m 49 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\sigm.m 48 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\sigmrnd.m 126 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\softmax.m 256 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\tanh_opt.m 54 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\visualize.m 1072 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\whiten.m 183 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\deeplearning\util\zscore.m 137 2014-06-26
ruan zhu\DeepLearnToolbox\EMDDBN\EMD_DBN_one.m 3964 2020-07-03
ruan zhu\DeepLearnToolbox\EMDDBN\EMD_DBN_two.m 3935 2020-07-03
ruan zhu\DeepLearnToolbox\EMDDBN\errormeasure.m 631 2017-03-30
ruan zhu\DeepLearnToolbox\EMDDBN\errperf.m 5289 2019-04-22
ruan zhu\DeepLearnToolbox\EMDDBN\nnpredicty.m 140 2014-07-06
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\bugfix.sh 216 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\cemdc.m 2354 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\cemdc2.m 2362 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\cemdc2_fix.m 2312 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\cemdc_fix.m 2305 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\emd.m 22275 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\emdc.m 2280 2015-03-11
ruan zhu\DeepLearnToolbox\EMDDBN\package_emd\EMDs\emdc_fix.m 2141 2015-03-11

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