Cristin-resultat-ID: 1943597
Sist endret: 5. oktober 2021, 22:43
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

Using extended siamese networks to provide decision support in aquaculture operations

Bidragsytere:
  • Bjørn Magnus Mathisen
  • Kerstin Bach og
  • Agnar Aamodt

Tidsskrift

Applied intelligence (Boston)
ISSN 0924-669X
e-ISSN 1573-7497
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Publisert online: 2021
Open Access

Importkilder

Scopus-ID: 2-s2.0-85103348194

Beskrivelse Beskrivelse

Tittel

Using extended siamese networks to provide decision support in aquaculture operations

Sammendrag

Aquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely operate than are traditional sites. To help the industry deal with these challenges, we have developed a decision support system to support decision makers in establishing better plans and make decisions that facilitate operating these sites in an optimal manner. We propose a case-based reasoning system called aquaculture case-based reasoning (AQCBR), which is able to predict the success of an aquaculture operation at a specific site, based on previously applied and recorded cases. In particular, AQCBR is trained to learn a similarity function between recorded operational situations/cases and use the most similar case to provide explanation-by-example information for its predictions. The novelty of AQCBR is that it uses extended Siamese neural networks to learn the similarity between cases. Our extensive experimental evaluation shows that extended Siamese neural networks outperform state-of-the-art methods for similarity learning in this task, demonstrating the effectiveness and the feasibility of our approach.

Bidragsytere

Bjørn Magnus Mathisen

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Kerstin Bach

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Agnar Aamodt

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet
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