How does matlab solve the samples in neural networks?

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}

Answer 1

[Huang Huang]

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.