@inproceedings{bb23b7f6744848d8b201bd677aa13d34,
title = "Volterra network modeling of the nonlinear finite-impulse reponse of the radiation belt flux",
abstract = "We show how a general class of spatio-temporal nonlinear impulse-response forecast networks (Volterra networks) can be constructed from a taxonomy of nonlinear autoregressive integrated moving average with exogenous inputs (NARMAX) input-output equations, and used to model the evolution of energetic particle f uxes in the Van Allen radiation belts. We present initial results for the nonlinear response of the radiation belts to conditions a month earlier. The essential features of spatio-temporal observations are recovered with the model echoing the results of state space models and linear f nite impulse-response models whereby the strongest coupling peak occurs in the preceding 1-2 days. It appears that such networks hold promise for the development of accurate and fully data-driven space weather modelling, monitoring and forecast tools.",
keywords = "Input-output models, Nonlinear neural networks, Radiation belts",
author = "M. Taylor and Daglis, {I. A.} and A. Anastasiadis and D. Vassiliadis",
year = "2010",
month = dec,
day = "1",
doi = "10.1063/1.3544328",
language = "English",
isbn = "9780735408753",
series = "AIP Conference Proceedings",
pages = "221--226",
booktitle = "Modern Challenges in Nonlinear Plasma Physics - A Festschrift Honoring the Career of Dennis Papadopoulos",
note = "Modern Challenges in Nonlinear Plasma Physics - A Festschrift Honoring the Career of Dennis Papadopoulos ; Conference date: 15-06-2009 Through 19-06-2009",
}