Prijava za pregled ovog predmeta na drugim jezicima
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…
Stvorio/la
- Pieri, G.
- Di Ludovico, A.
Izdavač
- Edizioni All'Insegna del Giglio
Tema
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Umjetna inteligencija
Vrsta predmet
- articles
Datum
- 2011-01-01
- 2011-01-01
Stvorio/la
- Pieri, G.
- Di Ludovico, A.
Izdavač
- Edizioni All'Insegna del Giglio
Tema
- Classification of archaeological finds
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Umjetna inteligencija
Vrsta predmet
- articles
Datum
- 2011-01-01
- 2011-01-01
Institucija iz koje dolazi
Agregator
Posredni dobavljač
Uvjeti korištenja medija u ovom zapisu (osim ako nije drugačije navedeno)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Mjesta
- http://sws.geonames.org/3169070/
Identifikator
- A_C_oai_Archive.xml:671
- A_C_oai_Archive.xml_671
Opseg
- pp. 99-128
Jezik
- en
- eng
Dio je
- Europeana Archaeology
Država iz koje dolazi
- Italy
Naziv zbirke
Prvi put objavljeno na Europeana
- 2020-05-22T18:45:13.398Z
Zadnji put ažurirano od institucije koja pruža podatke
- 2020-05-22T18:45:13.398Z