Is it possible to manually select cases from an array for training a neural network?

Question

Robert 2014-5-21

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评论： Greg Heath 2014-5-30

采纳的回答： Greg Heath

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Hi all,

I’m trying to create a conventional backpropagation network to solve the XoR problem.

The input cases (and their respective targets) are:

0 0 (0)

1 0 (1)

0 1 (1)

1 1 (0)

Here is the issue: I need to take control of selecting each case for training the network (rather than the MATLAB default doing this for me). To do this, I am using simple code to select each case in turn and manually pass the case through the network.

I set up and configure the network using these commands

net = feedforwardnet(2);
net.trainFcn = 'traingdm';
net = configure (net, train_data,target_data);

('train_data' and 'target_data' are the names of the respective databases)

For each selected case, I present it to the network for training with the ‘adapt’ function

net = adapt(net,P,T);

(P and T are input and target values for the selected case)

Unfortunately, the network seems to be having trouble learning XoR solution. The system will produce the right answer only some of the time. That is, the network does not reliably learn the solution.

My questions is this: is it permissible for me to manually select each case in turn and run it through the network (as done above), or is case selection something that MATLAB needs to do itself?

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Answer 1

Greg Heath 2014-5-24

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No. The net must process the inputs together (batch or sequential). Otherwise the net will forget the characteristics of previous inputs.

Hope this helps

Thank you for formally accepting my answer

Greg

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Greg Heath 2014-5-28

I am completely baffled.

The info that you want to store is meaningless.

Why in the world would you want to do this??

Greg Heath 2014-5-30

The simple answer is no. In multivariable problems it is very seldom that the answer can be obtained by sequencing multiple significant operations of different inputs.

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