function gX = formgx(net,gB,gIW,gLW)
%FORMGX Form bias and weights into single vector.
%
%  Syntax
%
%    gX = formgx(net,gB,gIW,gLW)
%
%  Warning!!
%
%    This function may be altered or removed in future
%    releases of the Neural Network Toolbox. We recommend
%    you do not write code which calls this function.
%
%  See also GETX, SETX.

% Mark Beale, 11-31-97
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.7 $

% Shortcuts
inputLearn = net.hint.inputLearn;
layerLearn = net.hint.layerLearn;
biasLearn = net.hint.biasLearn;
inputWeightInd = net.hint.inputWeightInd;
layerWeightInd = net.hint.layerWeightInd;
biasInd = net.hint.biasInd;

gX = zeros(net.hint.xLen,1);
for i=1:net.numLayers
  for j=find(inputLearn(i,:))
    gX(inputWeightInd{i,j}) = gIW{i,j}(:);
  end
  for j=find(layerLearn(i,:))
    gX(layerWeightInd{i,j}) = gLW{i,j}(:);
  end
  if biasLearn(i)
    gX(biasInd{i}) = gB{i}(:);
  end
end