Methodologies for improved optimisation of the derivative order and neural network parameters in neural FDE models

Coelho, Cecília; Costa, M. Fernanda P.; Niggemann, Oliver; Ferrás, Luís L.

doi:10.3390/fractalfract9070471

Methodologies for improved optimisation of the derivative order and neural network parameters in neural FDE models

Publication date

2025-07-20

Document type

Research article

Author

Coelho, Cecília

Costa, M. Fernanda P.

Niggemann, Oliver

Ferrás, Luís L.

Organisational unit

Informatik im Maschinenbau

Centre of Mathematics, University of Minho

Centro de Estudos de Fenómenos de Transporte CEFT, Faculty of Engineering, University of Porto

ALiCE Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto

DTEC.bw

DOI

10.3390/fractalfract9070471

URI

https://openhsu.ub.hsu-hh.de/handle/10.24405/20432

Project

Intelligente Brandgefahrenanalyse für Gebäude und Schutz der Rettungskräfte durch Künstliche Intelligenz und Digitale Brandgebäudezwillinge

Publisher

MDPI

Series or journal

Fractal and Fractional

ISSN

2504-3110

Periodical volume

9

Periodical issue

7

Article ID

471

Peer-reviewed

✅

Part of the university bibliography

✅

Language

English

Description

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Version

Published version

Access right on openHSU

Metadata only access