MATLAB: How does matlab solve the samples in neural networks

neural networkssampes

Usualy the column represents the sample number.But when I test the following codes, the results(weight1 and weight2) are different.Who would help me? Thank you very much!
%————
clear
clc
X=[0 0 1;0 1 1;1 0 1;1 1 1];
D=[0; 0; 1; 1];
X=X';
D=D';
net=network;
net.numInputs=1;
net.numLayers=1;
net.OutputConnect=1;
net.inputConnect(1,1)=1;
net.trainFcn='traingd';
net.trainParam.epochs=1;
net1=train(net,X,D);
weight1=net1.IW{1,1}
net2=net;
for k=1:4
net2=train(net2,X(:,k),D(k));
end
weight2=net2.IW{1,1}

Best Answer

Now,I know why!
In matlab,'traingd' indicates the batch GD method. From above codes,net1 is the batch algorithm,while net2 is the equivalent GD algorithm.
So the difference is right.
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