Моделирование искусственных нейронных сетей в системе MATLAB. Часть 2. Линейные сети. Донской Д.А - 18 стр.

% Цикл вычисления весов и смещения для одной эпохи

for i = 2:50,

   [net, tr] = train(net,P,T);

   x(i) = net.IW{1};

   y(i) = net.b{1};

end

TRAINB, Epoch 0/1, MSE 5.245/0.001.
TRAINB, Epoch 1/1, MSE 2.049/0.001.
TRAINB, Maximum epoch reached.

TRAINB, Epoch 0/1, MSE 2.049/0.001.
TRAINB, Epoch 1/1, MSE 0.815178/0.001.
TRAINB, Maximum epoch reached.

TRAINB, Epoch 0/1, MSE 0.815178/0.001.
TRAINB, Epoch 1/1, MSE 0.330857/0.001.
TRAINB, Maximum epoch reached.

TRAINB, Epoch 0/1, MSE 0.330857/0.001.
TRAINB, Epoch 1/1, MSE 0.137142/0.001.
TRAINB, Maximum epoch reached.

TRAINB, Epoch 0/1, MSE 0.137142/0.001.
TRAINB, Epoch 1/1, MSE 0.0580689/0.001.
TRAINB, Maximum epoch reached.

TRAINB, Epoch 0/1, MSE 0.0580689/0.001.
TRAINB, Epoch 1/1, MSE 0.0250998/0.001.



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