echo on
P = [0 1 2 3 4 5 6 7 8 9 10]; %Domain is dim x numpts
T = [0 1 2 3 4 3 2 1 2 3 4];  %Range is dim x numpts
net = newff(minmax(P),[5 1],{'tansig' 'purelin'});
%You don't need to change the minmax or what's in the curly braces.
%The term: [5,1]  refers to the number of nodes in hidden, output layer

net.trainParam.epochs = 50;  %How many times should we train?
net = train(net,P,T);

P1=linspace(0,10);  %Get new domain data
Y = sim(net,P1);     %Get new outputs
plot(P,T,'ro',P1,Y)

fprintf('Touch any key to continue\n')
pause

%Try with fewer neurons:
net = newff(minmax(P),[2 1],{'tansig' 'purelin'});
net=train(net,P,T);
Y=sim(net,P1);
plot(P,T,'ro',P1,Y);
echo off