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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…
Creator
- Pieri, G.
- Di Ludovico, A.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2011-01-01
- 2011-01-01
Creator
- Pieri, G.
- Di Ludovico, A.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2011-01-01
- 2011-01-01
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/
Places
- http://sws.geonames.org/3169070/
Identifier
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Extent
- pp. 99-128
Language
- en
- eng
Is part of
- Europeana Archaeology
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