function f=rbf(c,sig,x)
%
% 	function f=rbf(c,sig,x)
%
%	This function computes the output of one hidden neuron in a RBF nn.
%
%	Inputs: 	c - vector of centres, with dimension n
%			sig - 'desvio padrao' of the neuron
%			x - input data (m patterns with n inputs)
%
%	Output: 	f - matrix of outputs (dimension m*n)

[m,n]=size(x);

for i=1:m
   sum=0;
   for j=1:n
      sum=sum+(c(j)-x(i,j))^2;
   end
   sum=sum/(2*sig^2);
   f(i)=exp(-sum);
end