Back-propagation algorithm to estimate the parameters of auto-regressive exogenous model Online publication date: Thu, 07-Apr-2022
by Tianyang Xu; Jing Chen; Yingjiao Rong
International Journal of Modelling, Identification and Control (IJMIC), Vol. 37, No. 3/4, 2021
Abstract: This paper proposes a back-propagation (BP) algorithm to estimate the parameters of auto-regressive exogenous (ARX) models. By using the SAG method, the proposed algorithm identifies the weights/parameters of the neutral network constructed for the ARX model. Furthermore, in order to decrease the oscillation phenomenon in the SAG algorithm, two modified SAG algorithms are developed. A simulation experiment is presented to verify the effectiveness of the proposed methods.
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