AI gamma-ray burst classification: Methodology/preliminary results

1 January 1998

proceedings article
Published by AIP Publishing

https://doi.org/10.1063/1.55403

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.Comment: 5 pages, 2 postscript figures. To appear in the Fourth Huntsville Gamma-Ray Burst Symposiu

Keywords

GAMMA RAY
RAY BURSTS
CLASSIFICATION
INTELLIGENCE
IDENTIFY/SCREEN
REFINE
METHODOLOGY/PRELIMINARY

All Related Versions

Version 1, 1997-12-04, ArXiv

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