Artificial Neural Networks in archaeology
Artificial neural networks are adaptive models that can be used for classification and pattern recognition purposes. ANNs do not differ from standard statistical models. The main difference between ANNs and traditional statistical models is their construction and definition process. In fact ANNs are adaptive in the sense that they can learn. Landscape Archaeology is a research area where the appli…
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Creator
- Macchi Janica, G.
- Deravignone, L.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Survey and excavations
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2006-01-01
- 2006-01-01
Creator
- Macchi Janica, G.
- Deravignone, L.
Publisher
- Edizioni All'Insegna del Giglio
Subject
- Survey and excavations
- Simulation AI
- Field archaeology
- artificial intelligence
- Computer Science
- field archaeology
- Artificial intelligence
Type of item
- articles
Date
- 2006-01-01
- 2006-01-01
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:414
- A_C_oai_Archive.xml_414
Extent
- pp. 121-136
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