Elton R Prewitt
Biographic Data
| ID | 4053944 |
|---|---|
| NAME | Elton R Prewitt |
| GIVEN NAMES | Elton R |
| FAMILY NAME | Prewitt |
| SIGNATURE | PREWITT E R |
| AFFILIATIONS | Texas Archaeological Survey Balcones Research Center Box 4, Box 189 Austin, Texas 78757 |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1975 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 1 |
The Use of Artificial Neural Networks in Projectile Point Typology
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…
What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas
(1993). “What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas. Lithic Technology: Vol. 18, No. 1-2, pp. 49-58
News and Short Contributions
Application of Orthophoto Mapping to Archaeological Problems
The results of an experiment applying orthophoto mapping techniques to the Loeve-Fox site in Central Texas are presented. This new mapping technique is described and suggestions for its application to archaeological situations are made
Automatic Classification: Projectile Points from West Texas
Stepwise discriminant function can be used for automatic classification of points. The classification is based on six measurements and can serve as an efficient aid to the typologist
Automatic Classification: Projectile Points from West Texas
Stepwise discriminant function can be used for automatic classification of points. The classification is based on six measurements and can serve as an efficient aid to the typologist
The Use of Artificial Neural Networks in Projectile Point Typology
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…
What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas
(1993). “What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas. Lithic Technology: Vol. 18, No. 1-2, pp. 49-58
Automatic Classification: Projectile Points from West Texas
Stepwise discriminant function can be used for automatic classification of points. The classification is based on six measurements and can serve as an efficient aid to the typologist
Application of Orthophoto Mapping to Archaeological Problems
The results of an experiment applying orthophoto mapping techniques to the Loeve-Fox site in Central Texas are presented. This new mapping technique is described and suggestions for its application to archaeological situations are made
News and Short Contributions
What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas
(1993). “What Do I Call Thee?” Projectile Point Types and Archaeological Interpretations: Perspectives from Texas. Lithic Technology: Vol. 18, No. 1-2, pp. 49-58
The Use of Artificial Neural Networks in Projectile Point Typology
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 (5 works) · Geography (5 works) · Computer Science (3 works) · Projectile point (3 works) · Archaeology and ancient environmental studies (2 works) · Artificial Intelligence (2 works) · History (2 works) · History (2 works) · Image Processing and 3D Reconstruction (2 works) · Machine learning (2 works)