A new method for structure identification of fuzzy models and its application to a combined cycle power plant

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dc.contributor.authorSáez, D
dc.contributor.authorCipriano, A
dc.date.accessioned2025-01-21T01:30:51Z
dc.date.available2025-01-21T01:30:51Z
dc.date.issued2001
dc.description.abstractThis paper presents a new method for structure identification based on sensitivity analysis to determine the significant input variables of a fuzzy model. The sensitivity method is favorably compared against an heuristic method in two different examples. The proposed method is also used to develop fuzzy models for a combined cycle power plant from real time data.
dc.fuente.origenWOS
dc.identifier.issn0969-1170
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/96909
dc.identifier.wosidWOS:000169744600005
dc.issue.numero2
dc.language.isoen
dc.pagina.final107
dc.pagina.inicio101
dc.revistaEngineering intelligent systems for electrical engineering and communications
dc.rightsacceso restringido
dc.subjectfuzzy models
dc.subjectstructure identification
dc.subjectcombined cycle power plant
dc.titleA new method for structure identification of fuzzy models and its application to a combined cycle power plant
dc.typeartículo
dc.volumen9
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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