The advantage of NARMAX models compared to neural networks is that NARMAX produces models that can be written down and related to the underlying process, whereas neural networks produce an approximation that is opaque.
Prednost NARMAX modela u usporedbi s neuronskim mrežama je u tome što NARMAX proizvodi modele koji se mogu zapisati i povezati s temeljnim procesom, dok neuronske mreže proizvode aproksimaciju koja je neprozirna.