id
	10326
Url
	https://chloe.cnr.it/s/BiDiAr/item/10326
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Artificial Neural Networks in archaeology
Creator
	Deravignone, Luca
	Macchi Jánica, Giancarlo
Date
	2006
Language
	eng
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0
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.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
Pages
	121–136
Uri
	http://www.archcalc.cnr.it/journal/id.php?id=424
Volume
	17
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/PX5NKTP8/item-list

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