登录
首页 » matlab » ruan zhu

ruan zhu

于 2020-07-09 发布
0 238
下载积分: 1 下载次数: 1

代码说明:

说明:  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)

文件列表:

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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • msclib
    Basic models to build induction motor in IRFO vector control
    2011-04-20 20:26:34下载
    积分:1
  • mubiaogenzong
    用于飞机小型目标的增强和识别跟踪过程的程序(Goals for small aircraft to enhance the process of tracking and identification procedures)
    2008-02-15 20:34:49下载
    积分:1
  • Digital-Image-Processing
    计算图像直方图,图像直方图均衡处理,设计中值滤波器等(Calculating the image histogram, histogram equalization, the design value of the filter, etc.)
    2014-11-04 19:38:46下载
    积分:1
  • induction-motor-2
    induction motor simulation in matlab at various line frequencies
    2011-11-30 06:19:23下载
    积分:1
  • powertool-1.0.0beta.tar
    电力系统分析(英文)书的附带matlab潮流与稳定分析源码,对电力系统入门的学生具有很好的参考价值(Trends and stability analysis with matlab source power system analysis (in English) of the book, Getting the power system for students with a good reference value)
    2013-12-23 11:14:56下载
    积分:1
  • ROOT-MUSIC-algorithm-
    根-多信号分类算法(MUSIC)求电波到达角、离开角(Root- multiple signal classification algorithm (MUSIC) seeking wave arrival angle, left corner)
    2013-09-11 09:29:28下载
    积分:1
  • code-(4)
    MATLAB CODE FOR EDGE DETECTION
    2015-02-04 13:52:19下载
    积分:1
  • SimpleJSON
    JSON library SimpleJSON
    2013-12-27 13:54:09下载
    积分:1
  • (two)-Wind-turbine-output-power-vs
    Wind turbine output power vs. rotational speed, with wind speed as parameter
    2015-04-22 16:25:06下载
    积分:1
  • Extended-Finite-State
    Slicing is useful for many Software Engineering applications and has been widely studied for three decades, but there has been comparatively little work on slicing Extended Finite State Machines (EFSMs).
    2014-02-07 15:16:29下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载