For deployment, NAR and NARNET must be in the CLOSELOOP configuration which, typically, takes very long to train because an error-free feedback signal is not available.
The use of the OPENLOOP configuration witn known target feedback can allow for much quicker training.
The performance of the openloop configuration can be simulated by a feedforward net using the target matrix as a delayed input. However, it woulds absolutely make no sense to do so because it is not deployable and cannot be converted to the closeloop deployable configuration.
Hope this helps.
Thank you for formally accepting my answer
Greg
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