Interplanetary shock arrival time prediction using multi-layer perceptron

被引：0
|
作者：
Turchenko, Volodymyr [1 ]
Demchuk, Viktor [1 ]
Sachenko, Anatoly [1 ]
机构：
[1] Ternopil Natl Econ Univ, Res Inst Intelligent Comp Syst, UA-46009 Ternopol, Ukraine
来源：
IDAACS 2007: PROCEEDINGS OF THE 4TH IEEE WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS | 2007年
关键词：
space weather; predicting interplanetary shocks; neural networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from EPAM (Electron, Proton and Alpha Monitor) sensor of NASA's ACE (Advanced Composition Explorer) spacecraft is proposed in this paper. A short description of ACE spacecraft and the data, published online on the appropriate web-site, are presented A data preparation for prediction is proven and multi-layer perceptron architecture is described The results of simulation modelling are presented in the end of the paper.
引用
收藏
页码：185 / 190
页数：6
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