Neural Networks and the Classification of Active Galactic Nucleus Spectra

Details Neural Networks and the Classification of Active Galactic Nucleus Spectra Neural Networks and the Classification of Active Galactic Nucleus Spectra

1996-07-29

arxiv.org/abs/astro-ph/9607148v1

Astronomy and Astrophysics

Astrophysics

11 pages, LaTeX, including two postscript figures, 41 kb. Accepted for publication in Publ. ASA

Scientific paper

The use of Artificial Neural Networks (ANNs) as a classifier of digital spectra is investigated. Using both simulated and real data, it is shown that neural networks can be trained to discriminate between the spectra of different classes of active galactic nucleus (AGN) with realistic sample sizes and signal-to-noise ratios. By working in the Fourier domain, neural nets can classify objects without knowledge of their redshifts.

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