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Artificial Neural Networks and ancient artefacts: justifications for a multiform integrated approach using PST and Auto-CM models
The integration of different approaches based on Artificial Neural Networks models has here been adopted to draw the guidelines of a map of a Mesopotamian administrative system. Two data sets concerning two different classes of findings have been contemporarily investigated using different models and procedures: a corpus of glyptic presentation scenes and group of administrative tablets from the a…
Créateur
- Pieri, G.
- Di Ludovico, A.
Éditeur
- Edizioni All'Insegna del Giglio
Thème
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Intelligence artificielle
Type d'item
- article
Date
- 2011-01-01
- 2011-01-01
Créateur
- Pieri, G.
- Di Ludovico, A.
Éditeur
- Edizioni All'Insegna del Giglio
Thème
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Intelligence artificielle
Type d'item
- article
Date
- 2011-01-01
- 2011-01-01
Institution partenaire
Agrégateur
Fournisseur intermédiaire
Licence du support dans cet enregistrement (sauf indication contraire)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Lieux
- http://sws.geonames.org/3169070/
Identificateur
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Étendue
- pp. 99-128
Langue
- en
- eng
Fait partie de
- Europeana Archaeology
Pays fournisseur
- Italy
Nom de la collection
Première publication sur Europeana
- 2020-05-22T18:45:13.398Z
Dernière mise à jour de l'Institution partenaire
- 2020-05-22T18:45:13.398Z