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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…

This item is provided and maintained by The Institute of Heritage Sciences
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  • Good to know

  • All metadata

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

  • The Institute of Heritage Sciences

Aggregator

  • MUSEU

Intermediate provider

  • Central Institute for the Union Catalogue of Italian Libraries

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

  • 224_Museu_CNR

First time published on Europeana

  • 2020-05-22T18:45:13.398Z

Last time updated from providing institution

  • 2020-05-22T18:45:13.398Z
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