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

被引：13
|
作者：
Hoff, JL [1 ]
Townsend, LW [1 ]
Hines, JW [1 ]
机构：
[1] Univ Tennessee, Dept Nucl Engn, Knoxville, TN 37996 USA
来源：
IEEE TRANSACTIONS ON NUCLEAR SCIENCE | 2003年 / 50卷 / 06期
关键词：
artificial intelligence; cosmic rays; dosimetry; neural network applications; radiation monitoring; solar radiation;
D O I：
10.1109/TNS.2003.821817
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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 x August 1972), August 1972 (a two-rise event) and October 1989 (a four-rise event).
引用
收藏
页码：2296 / 2300
页数：5
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