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…
Autorius
- Pieri, G.
- Di Ludovico, A.
Leidėjas
- Edizioni All'Insegna del Giglio
Tema
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Dirbtinis intelektas
Skaitmeninis objektas tipas
- articles
Data
- 2011-01-01
- 2011-01-01
Autorius
- Pieri, G.
- Di Ludovico, A.
Leidėjas
- Edizioni All'Insegna del Giglio
Tema
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Dirbtinis intelektas
Skaitmeninis objektas tipas
- articles
Data
- 2011-01-01
- 2011-01-01
Teikėjas
Agregatorius
Tarpinis teikėjas
Šiame Skaitmeninis objektas esančios teisių pareikštys (jei nenurodyta kitaip)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Vietos
- http://sws.geonames.org/3169070/
Identifikatorius
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Apimtis
- pp. 99-128
Kalba
- en
- eng
Yra dalis
- Europeana Archaeology
Teikianti šalis
- Italy
Kolekcijos pavadinimas
Pirmą kartą paskelbta Europeana
- 2020-05-11T11:23:16.929Z
Paskutinį kartą atnaujinta iš teikėjas
- 2020-05-20T01:41:56.171Z