AI Gamma-Ray Burst Classification: Methodology/Preliminary Results
Jon Hakkila, David J. Haglin, Richard J. Roiger, Robert S. Mallozzi, Geoffrey N. Pendleton, Charles A. Meegan
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.
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