%This program illustrates the tests the DeltaSGD.m function for supervised
%training of an artificial neuron.

clear all
clc

%Inputs:
X = [0 0 1;
     0 1 1;
     1 0 1;
     1 1 1];
%Desired outputs:
D = [0; 0; 1; 1];

W = 2*rand(1, 3) - 1;   %initialization of weights

% Training process (adjusting weights):
for epoch = 1:10000
    W = DeltaSGD(W, X, D);
end

%Inference:
N = 4;
y = zeros(N,1);
for k = 1:N
x = X(k, :)';
v = W*x;
y(k) = Sigmoid(v);  %obtained output.
end

disp('Results:');
disp('   [desired   neuron_output]');
disp([D y]);