Although the concept of quaternion neural networks (QNNs) is not entirely new, interest in this type of network has increased recently. The possibilities they offer for effectively processing datasets characterised by inherent multidimensionality make them an interesting object of study and investigation. This contribution aims at highlighting the relevant key principles underlying these adaptive architectures and at providing an essential overview of the different classes and application areas available, serving as a tutorial introduction to the world of hypercomplex neural networks.

Quaternion Neural Networks for Multidimensional Applications: An Overview

Buscarino A.;Famoso C.;
2023-01-01

Abstract

Although the concept of quaternion neural networks (QNNs) is not entirely new, interest in this type of network has increased recently. The possibilities they offer for effectively processing datasets characterised by inherent multidimensionality make them an interesting object of study and investigation. This contribution aims at highlighting the relevant key principles underlying these adaptive architectures and at providing an essential overview of the different classes and application areas available, serving as a tutorial introduction to the world of hypercomplex neural networks.
2023
convolutional neural networks
neural networks
quaternion-valued neural networks
quaternions
recurrent neural networks
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/619651
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact