Kohonen self-organizing Maps to unravel patterns of dental morphology in space and time
The paper illustrates how the application of a specific version of Artificial Neural Networks, Self-Organizing Maps (SOMs), enabled a more accurate analysis of human dental morphology. SOMs enable the processing of individual samples (dentitions) because they can cope with missing data. In fact, in archaeological samples of human remains, teeth are often broken or missing making a complete set of …
Contributeurs
- M. Ramazzotti (ed.)
Créateur
- Candilio, F.
- Coppa, A.
- Manni, F.
Éditeur
- Edizioni All'Insegna del Giglio
Thème
- Theoretical and methodological problems
- Simulation AI
- Field archaeology
- artificial intelligence
- Science and technology for Cultural Heritage
- field archaeology
- Intelligence artificielle
Type d'item
- article
Date
- 2014-01-01
- 2014-01-01
Contributeurs
- M. Ramazzotti (ed.)
Créateur
- Candilio, F.
- Coppa, A.
- Manni, F.
Éditeur
- Edizioni All'Insegna del Giglio
Thème
- Theoretical and methodological problems
- Simulation AI
- Field archaeology
- artificial intelligence
- Science and technology for Cultural Heritage
- field archaeology
- Intelligence artificielle
Type d'item
- article
Date
- 2014-01-01
- 2014-01-01
Institution partenaire
Agrégateur
Fournisseur intermédiaire
Licence du support dans cet enregistrement (sauf indication contraire)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Période
- https://www.wikidata.org/wiki/Q6939
- XXIe siècle
Lieux
- http://sws.geonames.org/3169070/
Identificateur
- A_C_oai_Archive_sup.xml:810
- A_C_oai_Archive_sup.xml_810
Étendue
- pp. 231-242
Langue
- en
- eng
Fait partie de
- Europeana Archaeology
- ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke
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