Parametric Identification of Solar Series based on an Adaptive Parallel Methodology

Journal of astrophysics and astronomy

Juan A. Gómez Pulido1¹  Miguel A. Vega Rodríguez¹  Juan M. Sánchez Pérez¹ 

[1] Department of Computer Science, University of Extremadura, Campus Universitario s/n. 10071 Caceres, Spain.$$

关键词: Sunspot;    time series;    system identification;    parametric modelling;    optimization;    parallelism;    adaptation.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

In this work we present an adaptive parallel methodology to optimize the identification of time series through parametric models, applying it to the case of sunspot series. We employ high precision computation of system identification algorithms, and use recursive least squares processing and ARMAX (Autoregressive Moving Average Extensive) parametric modelling. This methodology could be very useful when the high precision mathematical modelling of dynamic complex systems is required. After explaining the proposed heuristics and the tuning of its parameters, we showthe results we have found for several solar series using different implementations. Thus, we demonstrate how the result precision improves.

【 授权许可】

Unknown