Artificial Neural Networks in archaeology

Deravignone, L. and Macchi Jánica, G. (2006) Artificial Neural Networks in archaeology. Archeologia e Calcolatori, 17. pp. 121-136. ISSN 1120-6861

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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.

Item Type:	Article
Uncontrolled Keywords:	Simulation AI; excavation, survey and field techniques
Subjects:	900 Storia, Geografia e discipline ausiliarie > 930 Storia dei mondo antico fino al 499 ca. > 930.1 Archeologia (Classificare qui la Storia fino al 4000 a.C., l'Archeologia preistorica, le opere interdisciplinari sull'Archeologia) > 930.102 Archeologia - Opere miscellanee > 930.1028 Archeologia – Tecniche, metodologie, apparecchi e strumenti (comprende: Archeometria) > 930.10285 Archeologia – Applicazioni informatiche (comprende: tecniche di datazione)
Depositing User:	Dott.ssa Paola Moscati
Date Deposited:	26 Aug 2009
Last Modified:	21 Apr 2017 09:47
URI:	http://eprints.bice.rm.cnr.it/id/eprint/1055

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