%%%******************   begin rnn_gen_net2.m      *********************%%%
%%%%%%%%%%%%%%%%%%%%%%%%%  Info  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%   File Name       :     rnn_gen_net2.m                             %%%
%%%   Type            :     m script file                           %%%
%%%   Parent          :     None                                    %%%
%%%   External Calls  :     None                                    %%% 
%%%   Internal Calls  :     None                                    %%%  
%%%   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 (rnnsimve.pdf)     %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


%################ Network Parameter Initialization ###########
 Mse_Threshold  = 4e-7;                     %Required stop mean square error value
 Eta = 0.1;                                 %Learning rate
 N_Iterations = 600;                        %Maximum number of iterations
 R_Out = 0.1;                               %Firing rate of the output neurons
 RAND_RANGE = 0.2;                          %Range of weights initialization
 FIX_RIN = 0;                               %DO NOT CHANGE (Related to RNN function approximation)
 R_IN = 1;                                  %DO NOT CHANGE (Related to RNN function approximation)
 SAVE_Weights = 1;                          %Flag to indicate if the weight will be automatically saved
 N_Saved_Iterations = 10;                   %Number of iterations after which weights will be saved automatically
 Net_File_Name = 'rnn_gen_net2.m';          %Network file name (this file)
 Connection_File_Name = 'rnn_gen_con2.dat'; %Connections file name
 Weights_File_Name = 'rnn_gen_wts2.mat';    %Weights file name
 Trn_File_Name = 'rnn_gen_trn2.m';          %Train data file name
 Tst_File_Name = 'rnn_gen_tst2.m';          %Testing data file name
 Log_File_Name = 'rnn_gen_log2.txt';        %results file name (ASCII format)
 Temp_Log_File_Name = 'rnn_gen_log2.m';     %Results file name (MATLAB format)
 SAVE_TEXT_LOG = 1;                         %Flag to indicate if the results will be saved in ASCII format
 SAVE_MFILE_LOG = 1;                        %Flag to indicate if the results will be saved in MATLAB format
 Res = 0.0001;                              %Resolution of solving the non linear equations of the model
 AUTO_MAPPING = 1;                          %Flag = 0 for FF networks and 1 for fully recurrent networks