Accuracy and stability of Artificial Neural Networks for HP-Splines frequency parameter selection

Vittoria Bruni, Paola Erminia Calabrese, Rosanna Campagna +1

This paper explores the use of artificial neural networks for the stable and data-driven selection of the frequency parameter in hyperbolic polynomial penalized splines (HP-splines…