Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029896475> ?p ?o ?g. }
- W2029896475 endingPage "1781" @default.
- W2029896475 startingPage "1767" @default.
- W2029896475 abstract "Classical prediction error approaches for the identification of non-linear polynomial NARX/NARMAX models often yield unsatisfactory results for long-range prediction or simulation purposes, mainly due to incorrect or redundant model structure selection. The paper discusses some limitations of the standard approach and suggests two modifications: namely, a new index, based on the simulation error, is employed as the regressor selection criterion and a pruning mechanism is introduced in the model selection algorithm. The resulting algorithm is shown to be effective in the identification of compact and robust models, generally yielding model structures closer to the correct ones. Computational issues are also discussed. Finally, the identification algorithm is tested on a long-range prediction benchmark application." @default.
- W2029896475 created "2016-06-24" @default.
- W2029896475 creator A5070453413 @default.
- W2029896475 creator A5088003742 @default.
- W2029896475 date "2003-11-01" @default.
- W2029896475 modified "2023-10-18" @default.
- W2029896475 title "An identification algorithm for polynomial NARX models based on simulation error minimization" @default.
- W2029896475 cites W1587891467 @default.
- W2029896475 cites W1956389191 @default.
- W2029896475 cites W1966839032 @default.
- W2029896475 cites W1975424366 @default.
- W2029896475 cites W1979071895 @default.
- W2029896475 cites W1994593539 @default.
- W2029896475 cites W1997673380 @default.
- W2029896475 cites W2007877462 @default.
- W2029896475 cites W2011406020 @default.
- W2029896475 cites W2023067217 @default.
- W2029896475 cites W2028744670 @default.
- W2029896475 cites W2035100132 @default.
- W2029896475 cites W2040135606 @default.
- W2029896475 cites W2085442834 @default.
- W2029896475 cites W2088035295 @default.
- W2029896475 cites W2088051354 @default.
- W2029896475 cites W2090971494 @default.
- W2029896475 cites W2091874430 @default.
- W2029896475 cites W2136048980 @default.
- W2029896475 cites W2165877696 @default.
- W2029896475 cites W2168652372 @default.
- W2029896475 cites W4232300185 @default.
- W2029896475 cites W4240172095 @default.
- W2029896475 doi "https://doi.org/10.1080/00207170310001635419" @default.
- W2029896475 hasPublicationYear "2003" @default.
- W2029896475 type Work @default.
- W2029896475 sameAs 2029896475 @default.
- W2029896475 citedByCount "189" @default.
- W2029896475 countsByYear W20298964752012 @default.
- W2029896475 countsByYear W20298964752013 @default.
- W2029896475 countsByYear W20298964752014 @default.
- W2029896475 countsByYear W20298964752015 @default.
- W2029896475 countsByYear W20298964752016 @default.
- W2029896475 countsByYear W20298964752017 @default.
- W2029896475 countsByYear W20298964752018 @default.
- W2029896475 countsByYear W20298964752019 @default.
- W2029896475 countsByYear W20298964752020 @default.
- W2029896475 countsByYear W20298964752021 @default.
- W2029896475 countsByYear W20298964752022 @default.
- W2029896475 countsByYear W20298964752023 @default.
- W2029896475 crossrefType "journal-article" @default.
- W2029896475 hasAuthorship W2029896475A5070453413 @default.
- W2029896475 hasAuthorship W2029896475A5088003742 @default.
- W2029896475 hasConcept C105795698 @default.
- W2029896475 hasConcept C11413529 @default.
- W2029896475 hasConcept C116834253 @default.
- W2029896475 hasConcept C119247159 @default.
- W2029896475 hasConcept C126255220 @default.
- W2029896475 hasConcept C134306372 @default.
- W2029896475 hasConcept C147764199 @default.
- W2029896475 hasConcept C159877910 @default.
- W2029896475 hasConcept C167085575 @default.
- W2029896475 hasConcept C33923547 @default.
- W2029896475 hasConcept C41008148 @default.
- W2029896475 hasConcept C42536954 @default.
- W2029896475 hasConcept C59822182 @default.
- W2029896475 hasConcept C67186912 @default.
- W2029896475 hasConcept C77088390 @default.
- W2029896475 hasConcept C86803240 @default.
- W2029896475 hasConcept C90119067 @default.
- W2029896475 hasConceptScore W2029896475C105795698 @default.
- W2029896475 hasConceptScore W2029896475C11413529 @default.
- W2029896475 hasConceptScore W2029896475C116834253 @default.
- W2029896475 hasConceptScore W2029896475C119247159 @default.
- W2029896475 hasConceptScore W2029896475C126255220 @default.
- W2029896475 hasConceptScore W2029896475C134306372 @default.
- W2029896475 hasConceptScore W2029896475C147764199 @default.
- W2029896475 hasConceptScore W2029896475C159877910 @default.
- W2029896475 hasConceptScore W2029896475C167085575 @default.
- W2029896475 hasConceptScore W2029896475C33923547 @default.
- W2029896475 hasConceptScore W2029896475C41008148 @default.
- W2029896475 hasConceptScore W2029896475C42536954 @default.
- W2029896475 hasConceptScore W2029896475C59822182 @default.
- W2029896475 hasConceptScore W2029896475C67186912 @default.
- W2029896475 hasConceptScore W2029896475C77088390 @default.
- W2029896475 hasConceptScore W2029896475C86803240 @default.
- W2029896475 hasConceptScore W2029896475C90119067 @default.
- W2029896475 hasIssue "17" @default.
- W2029896475 hasLocation W20298964751 @default.
- W2029896475 hasOpenAccess W2029896475 @default.
- W2029896475 hasPrimaryLocation W20298964751 @default.
- W2029896475 hasRelatedWork W2005705637 @default.
- W2029896475 hasRelatedWork W2029896475 @default.
- W2029896475 hasRelatedWork W2170265234 @default.
- W2029896475 hasRelatedWork W2615436488 @default.
- W2029896475 hasRelatedWork W2983954238 @default.
- W2029896475 hasRelatedWork W3109966558 @default.
- W2029896475 hasRelatedWork W4285110051 @default.
- W2029896475 hasRelatedWork W4287590388 @default.
- W2029896475 hasRelatedWork W64975823 @default.
- W2029896475 hasRelatedWork W2739620896 @default.