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…
Skaberen
- Pieri, G.
- Di Ludovico, A.
Udgiver
- Edizioni All'Insegna del Giglio
Emne
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Kunstig intelligens
Type af genstand
- articles
Dato
- 2011-01-01
- 2011-01-01
Skaberen
- Pieri, G.
- Di Ludovico, A.
Udgiver
- Edizioni All'Insegna del Giglio
Emne
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Kunstig intelligens
Type af genstand
- articles
Dato
- 2011-01-01
- 2011-01-01
Ejerinstiution
Aggregator
Mellemliggende udbyder
Rettigheder for medierne i denne optagelse (medmindre andet er angivet)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Steder
- http://sws.geonames.org/3169070/
Identifikator
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Omfang
- pp. 99-128
Sprog
- en
- eng
Er en del af
- Europeana Archaeology
Leverende land
- Italy
Navn på samling
Første gang offentliggjort på Europeana
- 2020-05-11T11:23:16.929Z
Sidste gang opdateret fra den ejerinstiution
- 2020-05-20T01:41:56.171Z