Selection of quasar candidates from combined radio and optical surveys using neural networks

Monthly Notices of the Royal Astronomical Society

Volumn 353, Issue 1, 2004, Pages 211-220

  Carballo, R ^a   Cofino A S ^a   Gonzlez Serrano J L ^b  

^a UNIVERSITY OF CANTABRIA   (Spain)

^b INSTITUTO DE FÍSICA DE CANTABRIA CSIC UC   (Spain)

Author keywords

Methods: data analysis; Methods: statistical; Quasars: general

Indexed keywords

DECISION TREES; FORESTRY; NEURAL NETWORKS; SURVEYS;

DATA BASE; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; MORPHOLOGICAL DATA; NEURAL-NETWORKS; PERFORMANCE; PHOTOMETRIC DATA; QUASARS:GENERAL; RADIO AND OPTICAL; SUPERVISED ARTIFICIAL NEURAL NETWORKS;

GALAXIES;

EID: 4544316362     PISSN: 00358711     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-2966.2004.08056.x     Document Type: Review

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