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Prediction of energetic solar particle event dose-time profiles using artificial neural networks

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3 Author(s)
J. L. Hoff ; Univ. of Tennessee, Knoxville, TN, USA ; L. W. Townsend ; J. W. Hines

A set of artificial neural networks has been developed which is capable of forecasting the three unknown parameters used to describe dose-time profiles of energetic solar particle events based on the doses obtained during the early stages of the event. Example forecasts are given for three events: a "worst-case" scenario (4× August 1972), August 1972 (a two-rise event) and October 1989 (a four-rise event).

Published in:

IEEE Transactions on Nuclear Science  (Volume:50 ,  Issue: 6 )