Open AccessSIMULATION MODELING OF INTERPLANETARY SHOCKS ARRIVAL TIME PREDICTION ON HISTORICAL DATA SET
Author(s) -
Volodymyr Turchenko,
Viktor Demchuk,
А. В. Саченко
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.5.3.418
Subject(s) - interplanetary spaceflight , computer science , spacecraft , artificial neural network , data set , set (abstract data type) , arrival time , matlab , data mining , solar wind , artificial intelligence , astronomy , physics , plasma , quantum mechanics , transport engineering , engineering , programming language , operating system
An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from single EPAM (Electron, Proton and Alpha Monitor) channel 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 considered. A data choice to fulfill a prediction of interplanetary shocks is proven and structure of neural network is described. The results of simulation modeling in MATLAB are considered in the end of the paper.