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…
Makers
- Pieri, G.
- Di Ludovico, A.
Uitgever
- Edizioni All'Insegna del Giglio
Onderwerp
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- kunstmatige intelligentie
- Computer Science
- veldarcheologie
- Kunstmatige intelligentie
Type object
- artikelen
Datum
- 2011-01-01
- 2011-01-01
Makers
- Pieri, G.
- Di Ludovico, A.
Uitgever
- Edizioni All'Insegna del Giglio
Onderwerp
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- kunstmatige intelligentie
- Computer Science
- veldarcheologie
- Kunstmatige intelligentie
Type object
- artikelen
Datum
- 2011-01-01
- 2011-01-01
Deelnemende erfgoedorganisatie
Informatienetwerk
Tussenleverancier
Rechtenstatus van de media in dit record (tenzij anders vermeld)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Plaatsen
- http://sws.geonames.org/3169070/
Identificatie
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Mate
- pp. 99-128
Taal
- en
- eng
Is onderdeel van
- Europeana Archaeology
Land
- Italy
Naam van de collectie
Voor het eerst gepubliceerd op Europeana
- 2020-05-22T18:45:13.398Z
Laatste keer bijgewerkt door deelnemende erfgoedorganisatie
- 2020-05-22T18:45:13.398Z