Investigating Mesopotamian cylinder seals iconography by using artificial neural networks. The Isin-Larsa period
The analysis of a corpus of seals belonging to the period of Isin and Larsa, carried out through the use of the Artificial Neural Network Auto-Contractive Maps, allows us to understand the complexity of the relationship of the different elements of the visual domain and its variety. The point of view adopted here is that of reading the iconology and iconography of the so-called presentation scene …
Contributors
- M. Ramazzotti (ed.)
Creator
- Viaggiu, I.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Theoretical and methodological problems
- Simulation AI
- Field archaeology
- artificial intelligence
- Science and technology for Cultural Heritage
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2014-01-01
- 2014-01-01
Contributors
- M. Ramazzotti (ed.)
Creator
- Viaggiu, I.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Theoretical and methodological problems
- Simulation AI
- Field archaeology
- artificial intelligence
- Science and technology for Cultural Heritage
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2014-01-01
- 2014-01-01
Providing institution
Aggregator
Intermediate provider
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Temporal
- https://www.wikidata.org/wiki/Q6939
- 21st century
Places
- http://sws.geonames.org/3169070/
Identifier
- A_C_oai_Archive_sup.xml:811
- A_C_oai_Archive_sup.xml_811
Extent
- pp. 243-262
Language
- en
- eng
Is part of
- Europeana Archaeology
- ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke
Providing country
- Italy
Collection name
First time published on Europeana
- 2020-05-22T18:45:13.398Z
Last time updated from providing institution
- 2020-05-22T18:45:13.398Z