A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys.

Dafonte, Carlos; Rodríguez, Alejandra; Manteiga, Minia; Gómez, Ángel; Arcay, Bernardino

Dafonte, Carlos; Rodríguez, Alejandra; Manteiga, Minia; Gómez, Ángel; Arcay, Bernardino.

Afiliación

Dafonte C; CITIC-Department of Computer Science and IT, University of A Coruna, 15071 A Coruña, Spain.
Rodríguez A; CITIC-Department of Computer Science and IT, University of A Coruna, 15071 A Coruña, Spain.
Manteiga M; CITIC-Department of Navigation and Earth Sciences, University of A Coruna, 15071 A Coruña, Spain.
Gómez Á; CITIC-Department of Computer Science and IT, University of A Coruna, 15071 A Coruña, Spain.
Arcay B; CITIC-Department of Computer Science and IT, University of A Coruna, 15071 A Coruña, Spain.

Entropy (Basel) ; 22(5)2020 May 01.

Article en En | MEDLINE | ID: mdl-33286290

Palabras clave

MK classification; artificial neural networks; astronomical databases; hybrid systems; spectral features

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Entropy (Basel) Año: 2020 Tipo del documento: Article País de afiliación: España

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google