%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
%  addNode(network) - add regressor.
%  
%  Parameters: net  -  neural network with matrix networks              
%
%  Author: Povilas Daniu餴s, paralax@hacker.lt
%  http://ai.hacker.lt - lithuanian site about Artificial Intelligence.
%
%  ----------------------------------------------------------------------


function f = addNode(net)

ro = length(net.left(1).w);
co =  length(net.right(1).w);

n = net.regressors + 1;
f = net;
f.regressors = f.regressors + 1;

f.left(n).w = (2*rand(1, ro) - 1);
f.right(n).w = (2*rand(co, 1) - 1);
f.d_left(n,:) = zeros(1,ro); 
f.d_right(n,:) = zeros(co,1); 
f.dleft(n,:) = zeros(1,ro); 
f.dright(n,:) = zeros(co,1); 

f.d_b = zeros(1,n);
f.weights(n) = 2*rand() - 1;
f.dweights(n) = 0;
f.d(n+1) = 0;
f.bias(n) = 2*rand() - 1;
f.dbias(n) = 0;
f.numparams = n + n*(ro + co + 1);