|
other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
1996A&AS..116..395F - Astron. Astrophys., Suppl. Ser., 116, 395-402 (1996/April-2)
Classification of planetary nebulae by cluster analysis and artificial neural networks.
FAUNDEZ-ABANS M., ORMENO M.I. and DE OLIVEIRA-ABANS M.
Abstract (from CDS):
According to the chemical composition, a sample of 192 Planetary Nebulae of different types has been re-classified, and 41 others have been classified for the first time, by means of two methods not employed so far in this field: hierarchical cluster analysis and supervised artificial neural network. The cluster analysis reveals itself as a good first guess for grouping Planetary Nebulae, while an artificial neural network provides reliable automated classification of this kind of objects.
Abstract Copyright: ∼
Journal keyword(s): planetary nebulae: general - methods: miscellaneous
Simbad objects: 233
To bookmark this query, right click on this link: simbad:1996A&AS..116..395F and select 'bookmark this link' or equivalent in the popup menu