lab2

B = [1 1 1 1 0; 1 0 0 0 1; 1 0 0 0 1; 1 1 1 1 0; 1 0 0 0 1; 1 0 0 0 1; 1 1 1 1 0];
PB = [B(1,:) B(2,:) B(3,:) B(4,:) B(5,:) B(6,:) B(7,:)]';
PA = [ 0 1 1 1 0 1 0 0 0 1 1 0 0 0 1 1 1 1 1 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 ]';
PC = [ 0 1 1 1 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 1 1 1 ]';
PD = [ 1 1 1 1 0 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 1 1 0 ]';
PE = [ 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 1 1 1 1 1 ]';
TA = [ 1 0 0 0 0 ]';
TB = [ 0 1 0 0 0 ]';
TC = [ 0 0 1 0 0 ]';
TD = [ 0 0 0 1 0 ]';
TE = [ 0 0 0 0 1 ]';

T = [ TA TB TC TD TE ];
IN = [ 0 1; 0 1;0 1;0 1;0 1];
IN = [ IN ; IN ; IN ; IN ; IN ; IN; IN ];
P = [ PA PB PC PD PE ];

net = newff([IN], [20 5 5], {'tansig','tansig', 'purelin'});
net.trainParam.epochs = 10000;
net = train(net, P, T);
A = sim(net, P);