Effect of swarm size parameter on Binary Particle Swarm optimization-based NARX structure selection

The NARX identification process is performed in two steps, namely model structure selection and parameter estimation. Structure selection involves selecting a subset of regressors to use that best describes the system. A Binary Particle Swarm based (BPSO) structure selected method has been implement...

Full description

Saved in:
Bibliographic Details
Published in2012 IEEE Symposium on Industrial Electronics and Applications pp. 219 - 223
Main Authors Yassin, I. M., Taib, M. N., Adnan, R., Salleh, M. K. M., Hamzah, M. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
NARX
Particle Swarm Optimization
structure selection
system identification
Online AccessGet full text
ISBN1467330043
9781467330046
DOI10.1109/ISIEA.2012.6496632

Cover

Abstract The NARX identification process is performed in two steps, namely model structure selection and parameter estimation. Structure selection involves selecting a subset of regressors to use that best describes the system. A Binary Particle Swarm based (BPSO) structure selected method has been implemented previously. The BPSO algorithm is subject to several parameters, namely swarm size, maximum iterations and its initial positions. This paper investigates the effect of the swarm size parameter on the convergence of the algorithm. Experiments were conducted on the DC motor dataset. The results indicate that the optimal swarm size for convergence was between 20 to 30 particles.
AbstractList The NARX identification process is performed in two steps, namely model structure selection and parameter estimation. Structure selection involves selecting a subset of regressors to use that best describes the system. A Binary Particle Swarm based (BPSO) structure selected method has been implemented previously. The BPSO algorithm is subject to several parameters, namely swarm size, maximum iterations and its initial positions. This paper investigates the effect of the swarm size parameter on the convergence of the algorithm. Experiments were conducted on the DC motor dataset. The results indicate that the optimal swarm size for convergence was between 20 to 30 particles.
Author Hamzah, M. K.
Salleh, M. K. M.
Yassin, I. M.
Adnan, R.
Taib, M. N.
Author_xml – sequence: 1
  givenname: I. M.
  surname: Yassin
  fullname: Yassin, I. M.
  email: ihsan.yassin@gmail.com
  organization: Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
– sequence: 2
  givenname: M. N.
  surname: Taib
  fullname: Taib, M. N.
  organization: Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
– sequence: 3
  givenname: R.
  surname: Adnan
  fullname: Adnan, R.
  organization: Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
– sequence: 4
  givenname: M. K. M.
  surname: Salleh
  fullname: Salleh, M. K. M.
  organization: Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
– sequence: 5
  givenname: M. K.
  surname: Hamzah
  fullname: Hamzah, M. K.
  organization: Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
BookMark eNo1UNtKAzEUjKigrf0BfckPbE1yNsnu41qqFoqKVfCtZLMnENlLSVLEfr2L1qdhmAvDTMhZP_RIyDVnc85ZebvarJbVXDAu5iovlQJxQmalLniuNABjEk7J5J_kcEFmMX4yxsawElpeErt0Dm2ig6Pxy4SORn9AujPBdJgw0KGnd7434Zu-mJC8bZFufn3DLvnOH0zyQ5_VJmJDn6rXDxpT2Nu0D0gjtmPzKF-Rc2faiLMjTsn7_fJt8Zitnx9Wi2qdea5lyhrIVdMgL5wopNHgrACFUFgtrKprOWracDBQ18wJzRWWQiI2pZOS5WUOU3Lz1-sRcbsLvht3b4-_wA8swVnT
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ISIEA.2012.6496632
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781467330053
1467330051
EndPage 223
ExternalDocumentID 6496632
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ADFMO
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IEGSK
IERZE
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-d346dde18f285a73fc236e38c72c6bb5dde7a13a3bb0f2716e925eed9f5504943
IEDL.DBID RIE
ISBN 1467330043
9781467330046
IngestDate Wed Aug 27 02:57:57 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-d346dde18f285a73fc236e38c72c6bb5dde7a13a3bb0f2716e925eed9f5504943
PageCount 5
ParticipantIDs ieee_primary_6496632
PublicationCentury 2000
PublicationDate 2012-Sept.
PublicationDateYYYYMMDD 2012-09-01
PublicationDate_xml – month: 09
  year: 2012
  text: 2012-Sept.
PublicationDecade 2010
PublicationTitle 2012 IEEE Symposium on Industrial Electronics and Applications
PublicationTitleAbbrev ISIEA
PublicationYear 2012
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001106275
Score 1.5584425
Snippet The NARX identification process is performed in two steps, namely model structure selection and parameter estimation. Structure selection involves selecting a...
SourceID ieee
SourceType Publisher
StartPage 219
SubjectTerms NARX
Particle Swarm Optimization
structure selection
system identification
Title Effect of swarm size parameter on Binary Particle Swarm optimization-based NARX structure selection
URI https://ieeexplore.ieee.org/document/6496632
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bS8MwFA5zTz6pbOKdPPhouzZJ0_ZxysYUHMM52NtI0lMYslZ2Qdiv9yTtNhQffGubUnIp55J833cIuTcMuC0b4gmWBfaYUXpKM8uVgUCqLA6UcmiLoRxMxMs0mjbIw54LAwAOfAa-vXRn-VlpNnarrCMFBuccDe4RJm4VV-uwnxI6wV3H3ZIxt0JSfCfpVN_LHWkmSDvP4-de1yK7mF9_9Ud5Fedd-ifkddevClTy4W_W2jfbX5KN_-34KWkfeHx0tPdQZ6QBRYuYSrCYljldfanlgq7mW6BWAnxhoTG0LOijI-nSUf1b0bF7r0Trsqhpm571fhkddt-mtJKg3SyBrlxRHWxuk0m_9_408OpSC94c44e1l3Eh0dCFSc6SSMU8N4xL4ImJmZFaR9gWq5ArrnWQM8yxIGURdj7NMcMRqeDnpFmUBVwQqgFtOQDGRakRUiYqVFKnGEhgrg1pYi5Jy07Q7LNS05jVc3P19-NrcmwXqUJ13ZAmjghuMQxY6zu3_t9MNK9w
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NT8IwGG4IHvSkBozf9uDRwdZu3XZEAwEFQgQSbqTt3iXEwAwfMeHX-7YbEI0Hb9u6LG3XvB_t8zwvIY-aATdlQxyfJa45ZhSOVMxwZcAVMgldKS3aoi_aY_91EkxK5GnPhQEACz6Dmrm0Z_lJpjdmq6wufAzOORrcI_T7gZeztQ47Kp6V3LXsLRFyIyXFd6JOxb3Y0WbcuN4ZdpoNg-1iteK7PwqsWP_SOiW9Xc9yWMlHbbNWNb39Jdr4366fkeqByUcHex91TkqwqBCdSxbTLKWrL7mc09VsC9SIgM8NOIZmC_psabp0UCwsOrTvZWhf5gVx0zH-L6H9xvuE5iK0myXQlS2rg81VMm41Ry9tpyi24Mwwglg7CfcFmjovSlkUyJCnmnEBPNIh00KpANtC6XHJlXJThlkWxCzAzscp5jh-7PMLUl5kC7gkVAFacwCMjGLtCxFJTwoVYyiB2TbEkb4iFTNB089cT2NazM31348fyHF71OtOu53-2w05MT8sx3jdkjKODu4wKFire7sWvgGkWbK5
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2012+IEEE+Symposium+on+Industrial+Electronics+and+Applications&rft.atitle=Effect+of+swarm+size+parameter+on+Binary+Particle+Swarm+optimization-based+NARX+structure+selection&rft.au=Yassin%2C+I.+M.&rft.au=Taib%2C+M.+N.&rft.au=Adnan%2C+R.&rft.au=Salleh%2C+M.+K.+M.&rft.date=2012-09-01&rft.pub=IEEE&rft.isbn=9781467330046&rft.spage=219&rft.epage=223&rft_id=info:doi/10.1109%2FISIEA.2012.6496632&rft.externalDocID=6496632
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467330046/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467330046/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467330046/sc.gif&client=summon&freeimage=true