文件名称:rnnsim
介绍说明－－下载内容均来自于网络，请自行研究使用
RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim- RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim- RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
(系统自动生成,下载前可以参看下载内容)
下载文件列表
rnnsim
......\about_nn.m
......\about_nn.mat
......\calc_inv.m
......\calc_mse.m
......\calc_output.m
......\calc_rate.m
......\demo_nn.m
......\demo_nn.mat
......\draw_nn.m
......\draw_nn.mat
......\drawrnn3.m
......\enter_nn.m
......\excute.m
......\help_nn.m
......\help_nn.mat
......\help_nn_excute.m
......\helpinfo.m
......\plot_error.m
......\plot_error.mat
......\prep_trn.m
......\prep_tst.m
......\prep_wts.m
......\prob1_net.m
......\prob1_trn.m
......\prob1_tst.m
......\quit_nn.m
......\quit_nn.mat
......\readme.txt
......\rnn3.m
......\rnn3.mat
......\rnn3_gui.m
......\rnn3_gui.mat
......\rnnsim.m
......\test_rnn3.m
......\train_rnn3.m
......\tutor_nn.m
......\tutor_nn.mat
......\tutor_nn_excute.m
......\update_wts.m
......\about_nn.m
......\about_nn.mat
......\calc_inv.m
......\calc_mse.m
......\calc_output.m
......\calc_rate.m
......\demo_nn.m
......\demo_nn.mat
......\draw_nn.m
......\draw_nn.mat
......\drawrnn3.m
......\enter_nn.m
......\excute.m
......\help_nn.m
......\help_nn.mat
......\help_nn_excute.m
......\helpinfo.m
......\plot_error.m
......\plot_error.mat
......\prep_trn.m
......\prep_tst.m
......\prep_wts.m
......\prob1_net.m
......\prob1_trn.m
......\prob1_tst.m
......\quit_nn.m
......\quit_nn.mat
......\readme.txt
......\rnn3.m
......\rnn3.mat
......\rnn3_gui.m
......\rnn3_gui.mat
......\rnnsim.m
......\test_rnn3.m
......\train_rnn3.m
......\tutor_nn.m
......\tutor_nn.mat
......\tutor_nn_excute.m
......\update_wts.m