Taxonomy of gamma-ray burster data using a self-organizing neural network

Details Taxonomy of gamma-ray burster data using a self-organizing neural network Taxonomy of gamma-ray burster data using a self-organizing neural network

Mar 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2243..552b&link_type=abstract

Proc. SPIE Vol. 2243, p. 552-561, Applications of Artificial Neural Networks V, Steven K. Rogers; Dennis W. Ruck; Eds.

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Scientific paper

This paper summarizes the results of a signal taxonomy study of gamma
ray burster data acquired with sensors on board the Pioneer-Venus
Orbiter spacecraft.

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