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Brendan S Nash

Biographic Data

ID6283216
NAMEBrendan S Nash
GIVEN NAMESBrendan S
FAMILY NAMENash
SIGNATURENASH B S
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2016
H-INDEX1
  • The Use of Artificial Neural Networks in Projectile Point Typology

    Brendan Nash, Brendan S Nash et al.•ARTICLE•Lithic Technology•2016•Cited by: 1•References: 24

    Regional empirical typologies have received criticisms for characterizing artifact types as immutable, mutually exclusive groups, rather than analytical groups developed for an analytical purposes. The research presented here uses an empirical regional typology to supply data for the creation of analytical units. Developed in the field of computer science as a means to discover complex patterns in data sets, archaeologists can use artificial neur…

  • The Use of Artificial Neural Networks in Projectile Point Typology

    Brendan Nash, Brendan S Nash et al.•ARTICLE•Lithic Technology•2016•Cited by: 1•References: 24

    Regional empirical typologies have received criticisms for characterizing artifact types as immutable, mutually exclusive groups, rather than analytical groups developed for an analytical purposes. The research presented here uses an empirical regional typology to supply data for the creation of analytical units. Developed in the field of computer science as a means to discover complex patterns in data sets, archaeologists can use artificial neur…

  • The Use of Artificial Neural Networks in Projectile Point Typology

    Brendan Nash, Brendan S Nash et al.•ARTICLE•Lithic Technology•2016•Cited by: 1•References: 24

    Regional empirical typologies have received criticisms for characterizing artifact types as immutable, mutually exclusive groups, rather than analytical groups developed for an analytical purposes. The research presented here uses an empirical regional typology to supply data for the creation of analytical units. Developed in the field of computer science as a means to discover complex patterns in data sets, archaeologists can use artificial neur…

Archaeology (1 work) · Artifact (error (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Field (mathematics (1 work) · Geochemistry and Geologic Mapping (1 work) · Geography (1 work) · Image Processing and 3D Reconstruction (1 work) · Machine learning (1 work)

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