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📄 readme.txt

📁 这是个神经网络工具箱的一点MATALAB 程序
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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 1998.

     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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