% 3D Perceptron demo with random training set.

% Calculate and plot the training set.
NPATS = 10+floor(rand(1)*30);
Patterns = rand(2,NPATS)*2-1;
slope = log(rand(1)*10);
yint = rand(1)*2-1;
Desired = Patterns(2,:) - Patterns(1,:)*slope - yint  > 0;

PlotPats3D(Patterns,Desired)

Inputs = [ones(1,NPATS); Patterns];
Weights = [0 0 0];

for i = 1:50

  Result = (Weights * Inputs) > 0;
  Errors = sum(Result ~= Desired);

  fprintf('%2d.  Errors=%2d,   Weights =',i,Errors);
  disp(Weights);
  PlotBoundarySurface(Weights,0)  % 2nd arg turns off clipping

  if Errors == 0, break, end

  Weights = Weights + (Desired-Result) * Inputs';

  pause(1)

end