Interplanetary Shock Arrival Time Prediction Using Multi-Layer Perceptron

Abstract

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.