In: Asian and African Studies, vol. 32, no. 2
Detaily:
Rok, strany: 2023, 137 - 162
Jazyk: eng
Kľúčové slová:
Machine learning, Old Kingdom Egypt, chisel, classification model
Typ článku: article
O článku:
This paper presents an attempt to apply advanced computational methods to a database of Old
Kingdom Egyptian copper model tools. We examine a particular class of artefacts, chisels. A
smaller dataset extracted from them was used to train several linear and non-linear classification
models. All these models were able to classify the items according to their origin, the site or part of
site where they were found. The origin of the chisels was set against a working hypothesis in an
attempt to establish the provenance of some chisels, presumably ones coming from excavations by
Hermann Junker at Giza, currently in the collection of the Kunsthistorisches Museum in Vienna.
The classification model has corroborated the indications of other contextual information, and the
tentative provenance of the assemblages in the Western Field at Giza is proposed. Another set of
predictions was influenced by fragments of chisels, particularly those described in the database
from Abusir South, which skewed the predictions of other fragmentary pieces towards this site.
Ako citovať:
ISO 690:
Gaude Fugarolas , D., Odler, M. 2023. WHOSE TOOLS ARE THESE? AN ARTIFICIAL NEURAL NETWORK APPLIED TO THE CLASSIFICATION OF OLD KINGDOM EGYPTIAN CHISELS. In Asian and African Studies, vol. 32, no.2, pp. 137-162. 1335-1257. DOI: https://doi.org/10.31577/aassav.2023.32.2.02
APA:
Gaude Fugarolas , D., Odler, M. (2023). WHOSE TOOLS ARE THESE? AN ARTIFICIAL NEURAL NETWORK APPLIED TO THE CLASSIFICATION OF OLD KINGDOM EGYPTIAN CHISELS. Asian and African Studies, 32(2), 137-162. 1335-1257. DOI: https://doi.org/10.31577/aassav.2023.32.2.02
O vydaní:
Vydavateľ: Institute of Oriental Studies
Verejná licencia: