rnnsim
所属分类:matlab编程
开发工具:matlab
文件大小:62KB
下载次数:96
上传日期:2010-03-04 16:55:55
上 传 者:
NPFmain
说明: 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
文件列表:
rnnsim (0, 1998-10-27)
rnnsim\about_nn.m (3999, 1998-10-27)
rnnsim\about_nn.mat (3912, 1998-10-27)
rnnsim\calc_inv.m (1612, 1998-10-27)
rnnsim\calc_mse.m (1478, 1998-10-27)
rnnsim\calc_output.m (2342, 1998-10-27)
rnnsim\calc_rate.m (1882, 1998-10-27)
rnnsim\demo_nn.m (2819, 1998-10-27)
rnnsim\demo_nn.mat (3824, 1998-10-27)
rnnsim\draw_nn.m (2183, 1998-10-27)
rnnsim\draw_nn.mat (3912, 1998-10-27)
rnnsim\drawrnn3.m (2089, 1998-10-27)
rnnsim\enter_nn.m (1760, 1998-10-27)
rnnsim\excute.m (69474, 1998-10-27)
rnnsim\help_nn.m (3480, 1998-10-27)
rnnsim\help_nn.mat (3824, 1998-10-27)
rnnsim\help_nn_excute.m (1566, 1998-10-27)
rnnsim\helpinfo.m (42645, 1998-10-27)
rnnsim\plot_error.m (3628, 1998-10-27)
rnnsim\plot_error.mat (4048, 1998-10-27)
rnnsim\prep_trn.m (2280, 1998-10-27)
rnnsim\prep_tst.m (2103, 1998-10-27)
rnnsim\prep_wts.m (1796, 1998-10-27)
rnnsim\prob1_net.m (1437, 1998-10-27)
rnnsim\prob1_trn.m (787, 1998-10-27)
rnnsim\prob1_tst.m (1025, 1998-10-27)
rnnsim\quit_nn.m (3076, 1998-10-27)
rnnsim\quit_nn.mat (3912, 1998-10-27)
rnnsim\rnn3.m (5319, 1998-10-27)
rnnsim\rnn3.mat (4488, 1998-10-27)
rnnsim\rnn3_gui.m (35255, 1998-10-27)
rnnsim\rnn3_gui.mat (4088, 1998-10-27)
rnnsim\rnnsim.m (1179, 1998-10-27)
rnnsim\test_rnn3.m (3113, 1998-10-27)
rnnsim\train_rnn3.m (5794, 1998-10-27)
rnnsim\tutor_nn.m (3272, 1998-10-27)
rnnsim\tutor_nn.mat (3824, 1998-10-27)
rnnsim\tutor_nn_excute.m (14232, 1998-10-27)
rnnsim\update_wts.m (4153, 1998-10-27)
... ...
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
When you run the program it is recommended to read the help by pressing
the Help push button and for fast start, click on the Demp Push button.
------------------------------------------------------------------------
Author : Hossam E. Mostfa Abdelbaki, School of Computer Science,
University of Centeral Florida (UCF).
Release : ver. 1.0.
Date : October 19***.
RNNSIM is a software program available to the user without any
license or royalty fees. Permission is hereby granted to use, copy,
modify, and distribute this software for any purpose. The Author
and UCF give no warranty, express, implied, or statuary for the
software including, without limitation, waranty of merchantibility
and warranty of fitness for a particular purpose. The software
provided hereunder is on an "as is" basis, and the Author and the
UCF has no obligation to provide maintenance, support, updates,
enhancements, or modifications.
RNNSIM is available for any platform (UNIX, PCWIN, MACHITOCH).
It runs under MATLAB ver. 5.0 or highrer.
User feedback, bugs, or software and manual suggestions can
be sent via electronic mail to : ahossam@cs.ucf.edu
------------------------------------------------------------------------
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