登录
首页 » matlab » MyCNNPSO

MyCNNPSO

于 2019-04-23 发布
0 388
下载积分: 1 下载次数: 46

代码说明:

说明:  采用PSO对CNN进行优化,然后用于数据预测,一个初步的实验,精度有待提高(PSO is used to optimize CNN and then to predict data. A preliminary experiment shows that the accuracy needs to be improved.)

文件列表:

MyCNNPSO\cnnff1.m, 5156 , 2018-10-29
MyCNNPSO\cnnpso1.m, 4589 , 2019-04-21
MyCNNPSO\cnnpso11.m, 4881 , 2019-04-09
MyCNNPSO\cnnpsoff.m, 3671 , 2019-04-21
MyCNNPSO\cnnpsoinit.m, 3955 , 2019-03-27
MyCNNPSO\cnntest1.m, 599 , 2018-10-29
MyCNNPSO\cnntest2.m, 748 , 2019-04-21
MyCNNPSO\cnntrain1.m, 1588 , 2019-04-21
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\.gitattributes, 483 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\.gitignore, 485 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\.travis.yml, 249 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caeapplygrads.m, 1219 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caebbp.m, 917 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caebp.m, 1011 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caedown.m, 259 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caeexamples.m, 754 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caenumgradcheck.m, 3618 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caesdlm.m, 845 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caetrain.m, 1148 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\caeup.m, 489 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\max3d.m, 173 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\scaesetup.m, 1937 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE\scaetrain.m, 270 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnnapplygrads.m, 575 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnnbp.m, 2637 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnnff.m, 2322 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnnnumgradcheck.m, 3430 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnnsetup.m, 2942 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnntest.m, 193 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN\cnntrain.m, 845 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CONTRIBUTING.md, 544 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\create_readme.sh, 744 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\data\mnist_uint8.mat, 14735220 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\dbnsetup.m, 557 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\dbntrain.m, 232 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\dbnunfoldtonn.m, 425 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\rbmdown.m, 90 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\rbmtrain.m, 1401 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN\rbmup.m, 89 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\LICENSE, 1313 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnapplygrads.m, 628 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnbp.m, 1668 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnchecknumgrad.m, 704 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nneval.m, 772 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnff.m, 1849 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnpredict.m, 188 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnsetup.m, 1844 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nntest.m, 180 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nntrain.m, 2414 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN\nnupdatefigures.m, 1858 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\README.md, 8585 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\README_header.md, 2113 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\REFS.md, 950 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\SAE\saesetup.m, 132 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\SAE\saetrain.m, 308 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\runalltests.m, 165 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_example_CNN.m, 981 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_example_DBN.m, 1031 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_example_NN.m, 3247 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_example_SAE.m, 934 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\allcomb.m, 2618 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\expand.m, 1958 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\flicker.m, 208 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\flipall.m, 80 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\fliplrf.m, 543 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\flipudf.m, 576 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\im2patches.m, 313 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\isOctave.m, 108 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\makeLMfilters.m, 1895 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\normalize.m, 97 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\patches2im.m, 242 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\randcorr.m, 283 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\randp.m, 2083 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\rnd.m, 49 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\sigm.m, 48 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\sigmrnd.m, 126 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\softmax.m, 256 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\tanh_opt.m, 54 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\visualize.m, 1072 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\whiten.m, 183 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util\zscore.m, 137 , 2014-08-25
MyCNNPSO\down1.m, 667 , 2018-10-29
MyCNNPSO\forestfires.xlsx, 31110 , 2019-02-28
MyCNNPSO\fx.m, 86 , 2018-10-29
MyCNNPSO\main.m, 2938 , 2019-04-21
MyCNNPSO\mymapminmax.m, 312 , 2019-04-21
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CAE, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\CNN, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\data, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\DBN, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\NN, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\SAE, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\tests, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master\util, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master\DeepLearnToolbox-master-master, 0 , 2014-08-25
MyCNNPSO\DeepLearnToolbox-master-master, 0 , 2019-04-21
MyCNNPSO, 0 , 2019-04-22

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

  • GO-CFAR
    最大选择恒虚警检测——GO-CFAR检测器:包括对于无目标、仅有噪声的信号进行GO-CFAR检测的仿真,以及对于含目标、且在瑞利杂波背景下的GO算法仿真。一些程序主要是为了绘图,画出GO-CFAR检测过程中的信号波形以及检测门限对比图;而另一些程序是为了计算GO-CFAR检测过程中的检测概率和虚警概率。(GO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using GO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of GO-CFAR algorithm.)
    2020-12-29 16:19:00下载
    积分:1
  • 753860797xiugai
    matlab file for ECG signal treatement
    2012-01-31 04:34:27下载
    积分:1
  • ber2
    This is the BER plot for QPSK..
    2014-02-11 13:24:17下载
    积分:1
  • bpsk_and_or_most
    matlab环境下不同的融合判决算法在不同SNR环境下的性能(matlab environment, the integration of different decision algorithms performance under different SNR)
    2011-05-20 10:15:03下载
    积分:1
  • simulink
    matlab/simulink教程(matlab仿真建模)(matlab/simulink tutorial (matlab simulation modeling))
    2011-09-30 09:46:56下载
    积分:1
  • amar
    a useful matlab code
    2013-11-04 09:37:20下载
    积分:1
  • MATLAB
    对波动光学中的衍射进行三大衍射实验的计算机仿真(The diffraction of wave optics for three big diffraction experiment of computer simulation )
    2011-12-29 07:33:03下载
    积分:1
  • ge0201
    用matlab实现主元分析的故障诊断,在我的硕士论文中具有分析性(Using matlab to achieve the principal component analysis, fault diagnosis, and analytical in my Master' s thesis)
    2012-05-28 20:23:10下载
    积分:1
  • GMM-toolkit
    基于matlab的高斯混合模型的相关例程,算法等M文件,(some m file for gmm in matlab.)
    2013-08-15 18:29:25下载
    积分:1
  • matlab2
    瑞利信道下,2发2收,最大似然译码,空时编码,MATLAB仿真实现(Rayleigh channel, 2 admission, maximum likelihood decoding, space-time coding, MATLAB simulation)
    2013-09-10 19:06:04下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载