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Matlab Neural networks: why use sim?

Asked by Sree Srinivasan on 31 Oct 2012
After the network has been trained, there seem to be two different ways to utilize the network to make predictions:

(1) test_outputs = net(test_inputs)

(2) test_outputs = sim(net, test_inputs)

What is the difference, and which is better?

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1 Answer

Answer by Greg Heath
on 31 Oct 2012
 Accepted answer

The first is newer, so I guess they want you to use it.

I don't know why it was changed.Probably to take some of the load off of sim.

help sim

doc sim

Greg

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