Volterra network modeling of the nonlinear finite-impulse reponse of the radiation belt flux

Taylor, M., Daglis, I. A., Anastasiadis, A. and Vassiliadis, D. (2010) Volterra network modeling of the nonlinear finite-impulse reponse of the radiation belt flux. In: Modern Challenges in Nonlinear Plasma Physics - A Festschrift Honoring the Career of Dennis Papadopoulos. AIP Conference Proceedings . UNSPECIFIED, GRC, pp. 221-226. ISBN 9780735408753

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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.

Item Type: Book Section
Uncontrolled Keywords: input-output models,nonlinear neural networks,radiation belts,physics and astronomy(all) ,/dk/atira/pure/subjectarea/asjc/3100
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Depositing User: LivePure Connector
Date Deposited: 13 Aug 2020 00:04
Last Modified: 16 Aug 2020 23:57
URI: https://ueaeprints.uea.ac.uk/id/eprint/76422
DOI: 10.1063/1.3544328

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