title: SPE dose prediction using locally weighted regression.
abstract: When astronauts are outside earth's protective magnetosphere, they are subject to large radiation doses resulting from solar particle events (SPEs). The total dose received from a major SPE 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 mitigated 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 neural network models previously used.
authors.affiliation: Department of Nuclear Engineering, The University of Tennessee, Knoxville, TN 37996-2300, USA. jhines2@utk.edu
authors.forename: J W
authors.initials: JW
authors.lastname: Hines
authors.forename: L W
authors.initials: LW
authors.lastname: Townsend
authors.forename: T F
authors.initials: TF
authors.lastname: Nichols
mesh_terms: D000465:Algorithms; D018480:Astronauts; D001822:Body Burden; D003198:Computer Simulation; D008954:Models, Biological; D016273:Occupational Exposure / Q000032:analysis*; D011829:Radiation Dosage; D011834:Radiation Monitoring / Q000379:methods*; D011835:Radiation Protection / Q000379:methods*; D012044:Regression Analysis; D012062:Relative Biological Effectiveness; D019445:Solar Activity; D013026:Space Flight