Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/12842
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kukolj, Dragan | en |
dc.contributor.author | Levi E. | en |
dc.date.accessioned | 2020-03-03T14:50:04Z | - |
dc.date.available | 2020-03-03T14:50:04Z | - |
dc.date.issued | 2004-01-01 | en |
dc.identifier.issn | 10834419 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/12842 | - |
dc.description.abstract | The paper describes a neuro-fuzzy identification approach, which uses numerical data as a starting point. The proposed method generates a Takagi-Sugeno fuzzy model, characterized with transparency, high accuracy and a small number of rules. The process of self-organizing of the identification model consists of three phases: clustering of the input-output space using a self-organized neural network; determination of the parameters of the consequent part of a rule from over-determined batch least-squares formulation of the problem, using singular value decomposition algorithm; and on-line adaptation of these parameters using recursive least-squares method. The verification of the proposed identification approach is provided using four different problems: two benchmark identification problems, speed estimation for a dc motor drive, and estimation of the temperature in a tunnel furnace for clay baking. | en |
dc.relation.ispartof | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics | en |
dc.title | Identification of Complex Systems Based on Neural and Takagi-Sugeno Fuzzy Model | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1109/TSMCB.2003.811119 | en |
dc.identifier.scopus | 2-s2.0-0742290026 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/0742290026 | en |
dc.relation.lastpage | 282 | en |
dc.relation.firstpage | 272 | en |
dc.relation.issue | 1 | en |
dc.relation.volume | 34 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za računarstvo i automatiku | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
148
checked on Sep 14, 2022
Page view(s)
36
Last Week
12
12
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.