% Randy Dimmett
% Semester Project
% Network Generation

Pin=inputs;
Tin=[ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27]/27;
net = newff(minmax(Pin'),[2 5 5 5 1],{'tansig' 'tansig' 'tansig' 'tansig' 'purelin'});
net.inputWeights{:,:}.initFcn = 'rands';
net.layerWeights{:,:}.initFcn= 'rands';
Pin=Pin';
net.trainParam.epochs = 50;
net = train(net,Pin,Tin);