Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/10798
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kukolj, Dragan | en |
dc.date.accessioned | 2020-03-03T14:41:20Z | - |
dc.date.available | 2020-03-03T14:41:20Z | - |
dc.date.issued | 2002-01-01 | en |
dc.identifier.issn | 15684946 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/10798 | - |
dc.description.abstract | The paper describes a method of fuzzy model generation using numerical data as a starting point. The algorithm generates a Takagi-Sugeno-Kang fuzzy model, characterised with transparency, high accuracy and small number of rules. The training algorithm consists of three steps: partitioning of the input-output space using a fuzzy clustering method; determination of parameters of the consequent part of a rule from over-determined batch least-squares (LS) formulation of the problem, using singular value decomposition algorithm; and adaptation of these parameters using recursive least-squares method. Three illustrative well-known benchmark modelling problems serve the purpose of demonstrating the performance of the generated models. The achievable performance is compared with similar existing models, available in literature. © 2002 Elsevier Science B.V. All rights reserved. | en |
dc.relation.ispartof | Applied Soft Computing Journal | en |
dc.title | Design of adaptive Takagi-Sugeno-Kang fuzzy models | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1016/S1568-4946(02)00032-7 | en |
dc.identifier.scopus | 2-s2.0-4344594491 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/4344594491 | en |
dc.relation.lastpage | 103 | en |
dc.relation.firstpage | 89 | en |
dc.relation.issue | 2 | en |
dc.relation.volume | 2 | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za računarstvo i automatiku | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
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