pith. sign in

arxiv: astro-ph/9712077 · v1 · submitted 1997-12-04 · 🌌 astro-ph

AI Gamma-Ray Burst Classification: Methodology/Preliminary Results

Jon Hakkila (1) , David J. Haglin (1) , Richard J. Roiger (1) , Robert S. Mallozzi (2) , Geoffrey N. Pendleton (2) , Charles A. Meegan (3) ((1) Mankato State University , (2) University of Alabama in Huntsville , (3) NASA/MSFC) This is my paper
classification 🌌 astro-ph
keywords classificationgamma-raymethodologyparameterspreliminaryresultsalongartificial
0
0 comments X
read the original abstract

Artificial intelligence (AI) classifiers can be used to classify unknowns, refine existing classification parameters, and identify/screen out ineffectual parameters. We present an AI methodology for classifying new gamma-ray bursts, along with some preliminary results.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.