creatnn(arg1,arg2)

function [net,tr] = creatnn(arg1,arg2)

NNinput = arg1;
NNtarget = arg2;
S1 = 80;
S2 = 10;

net = newff(minmax(NNinput),[S1 S2],{'logsig' 'logsig'},'traingda');
net.LW{2,1} = net.LW{2,1}*0.01;
net.b{2} = net.b{2}*0.01;


net.performFcn = 'sse';        % Sum-Squared Error performance function
net.trainParam.goal = 0.01;     % Sum-squared error goal.
net.trainParam.show = 20;      % Frequency of progress displays (in epochs).
net.trainParam.epochs = 5000;  % Maximum number of epochs to train.

[net,tr] = train(net,NNinput,NNtarget);