% File Name                  :  rnn_gen_con1.dat
 % 3 Layers Feed Forward RNN Model 
 % ----------------------------------- 
 % Number of Neurons in the Input Layer   :  7  neurons 
 % Number of Neurons in the Hidden Layer  :  5  neurons 
 % Number of Neurons in the Output Layer  :  2  neurons 

% Total Number of Neurons
14

% Connection Matrix for the Positive Weights ( wplus )
1 5 8 9 10 11 12 
2 5 8 9 10 11 12 
3 5 8 9 10 11 12 
4 5 8 9 10 11 12 
5 5 8 9 10 11 12 
6 5 8 9 10 11 12 
7 5 8 9 10 11 12 
8 2 13 14 
9 2 13 14 
10 2 13 14 
11 2 13 14 
12 2 13 14 
13 0 
14 0 

% Connection Matrix for the Negative Weights ( wminus )
1 5 8 9 10 11 12 
2 5 8 9 10 11 12 
3 5 8 9 10 11 12 
4 5 8 9 10 11 12 
5 5 8 9 10 11 12 
6 5 8 9 10 11 12 
7 5 8 9 10 11 12 
8 2 13 14 
9 2 13 14 
10 2 13 14 
11 2 13 14 
12 2 13 14 
13 0 
14 0 

% Number of Input Neurons 
7 1 2 3 4 5 6 7 
% Number of Output Neurons 
2 13 14