Artificial Neural Networks in archaeology

Autor:	Deravignone, Luca, Macchi Jánica, Giancarlo
Jazyk:	angličtina
Rok vydání:	2006
Předmět:	Statistics::Theory ComputingMethodologies_PATTERNRECOGNITION Computer Science::Neural and Evolutionary Computation ComputerApplications_COMPUTERSINOTHERSYSTEMS Survey and excavations GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) Computer Science::Databases Simulation AI
Zdroj:	Archeologia e Calcolatori.
ISSN:	1120-6861
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=issn11206861::64d1f123a58050f01ed122164bfe993a http://www.archcalc.cnr.it/indice/PDF17/08_Deravignone.pdf Zobrazit plný text záznamu