Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model

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Main Author: Jahaya, Junainah
Format: Thesis
Published: 2013
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id my-utm-ep.42250
record_format uketd_dc
spelling my-utm-ep.422502014-10-09T10:28:04Z Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model 2013 Jahaya, Junainah QA Mathematics 2013 Thesis http://eprints.utm.my/id/eprint/42250/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA Mathematics
spellingShingle QA Mathematics
Jahaya, Junainah
Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
description
format Thesis
qualification_level Master's degree
author Jahaya, Junainah
author_facet Jahaya, Junainah
author_sort Jahaya, Junainah
title Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
title_short Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
title_full Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
title_fullStr Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
title_full_unstemmed Simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
title_sort simultaneous computation of model order and parameter estimation based on particle swarm optimisation for autoregressive with exogenous model
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2013
_version_ 1747816726414753792