%%%%%%%%%%%%%%%%%%%%%%%%  Info  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%   File Name       :     contents.m                              %%%
%%%   Date            :     September, 1, 1999                      %%%
%%%   Author          :     Hossam Eldin Mostafa Abdelbaki          %%%
%%%   Address         :     University of Central Florida,          %%%
%%%                   :     School of Computer Science              %%%
%%%  Email            :     ahossam@cs.ucf.edu                      %%% 
%%%  Home Page        :     http://www.cs.ucf.edu/~ahossam/         %%% 
%%%  Help             :     read the manual file (rnnsimv2.pdf)     %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%Contents of the directory   /rnnsimv2
%                               Main Files (problem independent)
%====================================================================================
%1 - train_rnn_gen.m            function m file      trains the RNN.
%2 - test_rnn_gen.m             function m file      tests the RNN.
%3 - rnn_gen_test_exact.m       function m file      tests the RNN in batch mode by solving
%                                                    the non linear equations of the model.
%4 - rnn_gen_test_iterative.m   function m file      tests the RNN in batch mode without solving
%                                                    the non linear equations of the model.
%====================================================================================


%                        General Files (problem independent)  
%=======================================================================================
%5- vardef.m                   script m file         declares the global variables. 
%6- itialize.m                 script m file         initializes the RNN.
%7- read_connection_matrix.m   function m file       reads the connection file.
%8- load_net_file.m            function m file       loads the network file.
%9- load_trn_file.m            script m file         loads the training data file.
%10- load_tst_file.m            function m file       loads the testing data file.
%11- initialize_weights.m       function m file       initializes the network weights.
%12- etract_name.m              function m file       extracts a file name without its extension.

%                              Documentation
%=======================================================================================
%13- rnnsimrep.pdf              PDF file              technical report that describes 
%                                                     how to use the RNNSIM v.2. 
%14- readme.txt                 ASCII file            readme file. 
%15- contents.m                 
%=======================================================================================


%Contents of the directory   /rnnsimv2/example1
%====================================================================================
%use_rnn_gen1.m              script m file         main file for example 1.
%rnn_gen_net1.m              script m file         defines the learning parameters.
%rnn_gen_con1.dat            ASCII data file       contains the network connections
%rnn_gen_wts1.mat            Mat file              contains the weights.
%rnn_gen_trn1.m              script m file         contains the training data.
%rnn_gen_tst1.m              script m file         contains the testing data.
%rnn_gen_log1.txt            ASCII data file       results of testing the trained network.
%rnn_gen_log1.m              script m file         results of testing the trained network.
%=======================================================================================


%Contents of the directory   /rnnsimv2/example2
%====================================================================================
%use_rnn_gen2.m              script m file         main file for example 2.
%rnn_gen_net2.m              script m file         defines the learning parameters.
%rnn_gen_con2.dat            ASCII data file       contains the network connections
%rnn_gen_wts2.mat            Mat file              contains the weights.
%rnn_gen_trn2.m              script m file         contains the training data.
%rnn_gen_tst2.m              script m file         contains the testing data.
%rnn_gen_log2.txt            ASCII data file       results of testing the trained network.
%rnn_gen_log2.m              script m file         results of testing the trained network.
%=======================================================================================