SPE dose prediction using locally weighted regression.
When astronauts are outside Earth's protective magnetosphere, they are subject to large radiation doses resulting from solar particle events. The total dose received from a major solar particle event in deep space could cause severe radiation poisoning. The dose is usually received over a 20-40 h time interval but the event's effects may be reduced with an early warning system. This paper presents a method to predict the total dose early in the event. It uses a locally weighted regression model, which is easier to train, and provides predictions as accurate as the neural network models that were used previously.
Hines
J W
JW
Department of Nuclear Engineering, The University of Tennessee, Knoxville, TN 37996-2300, USA. jhines2@utk.edu
Townsend
L W
LW
Nichols
T F
TF
D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003359:Cosmic Radiation; D006801:Humans; D018499:Linear Energy Transfer; D008422:Materials Testing; D015233:Models, Statistical; D016571:Neural Networks, Computer; D011829:Radiation Dosage; D011832:Radiation Injuries / Q000517:prevention & control; D011835:Radiation Protection / Q000379:methods*; D011874:Radiometry / Q000379:methods*; D012044:Regression Analysis; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012542:Scattering, Radiation; D019445:Solar Activity; D013026:Space Flight