The Application of Artificial Neural Networks: A Catalog of Spectral Indices

Autor:	R. K. Gulati, A. Bravo, R. L. Altamirano, G. Padilla
Rok vydání:	1999
Předmět:	Artificial neural network Computer science business.industry Astrophysics::Solar and Stellar Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Artificial intelligence Machine learning computer.software_genre business computer Astrophysics::Galaxy Astrophysics
Zdroj:	Symposium - International Astronomical Union. 192:369-372
ISSN:	0074-1809
Popis:	Artificial neural networks have been applied to a catalog of spectral indices based on low-resolution spectra in the wavelength regions 3820–4500 Å and 4780–5450 Å. We classify the spectral indices using supervised neural networks. This project is in continuation of the previous efforts by one of us, applying new tools to determine basic properties of stars. We envisage the use of such methods for stellar contents studies of local stellar systems for which spectroscopic surveys are underway.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2a8f69318cfc2be7a4120392a1ad9019 https://doi.org/10.1017/s0074180900204373 Zobrazit plný text záznamu