Title :
Prediction of energetic solar particle event dose-time profiles using artificial neural networks
Author :
Hoff, J.L. ; Townsend, L.W. ; Hines, J.W.
Author_Institution :
Univ. of Tennessee, Knoxville, TN, USA
Abstract :
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).
Keywords :
aerospace instrumentation; dosimetry; neural nets; radiation effects; radiation hardening (electronics); solar cosmic ray particles; artificial neural networks; energetic solar particle event dose-time profiles; Artificial neural networks; Cosmic rays; Dosimetry; Intelligent networks; Load forecasting; Neural networks; Radiation monitoring; Solar radiation; Space missions; Space vehicles;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2003.821817
