Artificial Neural Networks in archaeology

Title

Artificial Neural Networks in archaeology

Creator(s)

Deravignone, Luca

Macchi Jánica, Giancarlo

Date

2006

Is Part Of

Archeologia e Calcolatori

Volume

17

Pages

121–136

Language

eng

Rights

CC BY-NC-ND 4.0

URI

http://www.archcalc.cnr.it/journal/id.php?id=424

Zotero BiDiAr

https://www.zotero.org/groups/5293298/bidiar/items/PX5NKTP8/item-list

Abstract

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 application of ANNs can be very useful. ANNs can be used for Landscape pattern recognition and Settlement systems modeling. This paper illustrate some aspects of the development of new tools and the application of ANNs in a raster GIS environment for archaeological predictive modeling purposes.