| Authors
|
Deravignone, L. -
Macchi Jánica, G. -
|
| Title |
Artificial Neural Networks in archaeology
|
| In |
«Archeologia e Calcolatori n. XVII - 2006»
|
| URL |
http://soi.cnr.it/archcalc/indice/PDF17/08_Deravignone.pdf
|
| Editor |
Edizioni All'Insegna del Giglio |
| Date |
2006-01-01 |
| Subject |
Simulation AI |
| Subject |
Survey and excavations |
| Description |
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. |
| Description |
pp. 121-136 |
| Language |
ENG |
Format |
pdf |
Type |
text |
| Rif. |
http://soi.cnr.it/archcalc/indice/PDF17/15_Tavole.pdf
|
