Rotation-invariant convolutional neural networks for galaxy morphology prediction
Author:
Publisher
Oxford University Press (OUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://academic.oup.com/mnras/article-pdf/450/2/1441/3022697/stv632.pdf
Reference65 articles.
1. Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks
2. Galaxy Zoo: the dependence of morphology and colour on environment
3. Galaxy Zoo: reproducing galaxy morphologies via machine learning★
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