Year: 2006
Type: article
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.
Authors: Luca Deravignone, Giancarlo Macchi Jánica
Language: English
Subfield: Archeology
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1547748475