function output=NN2(weights,inputs,af)
%weights is generated from NN2weights
%input is a column vector of input values
%af is either p for perceptron or anything else for logistic function
output=zeros(1,weights.outputnum);
alpha=weights.inputs*inputs+weights.bias;
for n=1:weights.outputnum
    if (af=='p')
        if (alpha(n)>0)
            output(n)=1;
        else 
            output(n)=0;
        end
    else
        output(n)=(1+exp(-alpha(n)))^-1;
    end
end