Matches in SemOpenAlex for { <https://semopenalex.org/work/W3111366854> ?p ?o ?g. }
- W3111366854 endingPage "675" @default.
- W3111366854 startingPage "663" @default.
- W3111366854 abstract "This article introduces a new evolving fuzzy-rule-based algorithm for online data streams, named extreme value evolving predictor (EVeP). It offers a statistically well-founded approach to define the evolving fuzzy granules that form the antecedent and the consequent parts of the rules. The evolving fuzzy granules correspond to radial inclusion Weibull functions. They are interpreted by the extreme value theory as the limiting distribution of the relative proximity among the rules of the learning model. Regarding the parameters of the Takagi–Sugeno term at the consequent of the rules, the algorithm enhances the already demonstrated benefits of multitask learning by replacing a binary version with a fuzzy structural relationship among the rules. The pairwise similarity among the rules is automatically provided by the current interaction of the evolving fuzzy granules at the antecedent and at the consequent parts of their corresponding rules. Several computational experiments, using artificial and real-world time series, attest to the dominating prediction performance of EVeP when compared to the state-of-the-art evolving algorithms." @default.
- W3111366854 created "2020-12-21" @default.
- W3111366854 creator A5008133189 @default.
- W3111366854 creator A5035858702 @default.
- W3111366854 date "2022-03-01" @default.
- W3111366854 modified "2023-10-02" @default.
- W3111366854 title "The Extreme Value Evolving Predictor" @default.
- W3111366854 cites W1500657154 @default.
- W3111366854 cites W1974758710 @default.
- W3111366854 cites W2018359669 @default.
- W3111366854 cites W2021347076 @default.
- W3111366854 cites W2022443690 @default.
- W3111366854 cites W2027101567 @default.
- W3111366854 cites W2043637184 @default.
- W3111366854 cites W2052201135 @default.
- W3111366854 cites W2052345845 @default.
- W3111366854 cites W2057974719 @default.
- W3111366854 cites W2079325629 @default.
- W3111366854 cites W2081717961 @default.
- W3111366854 cites W2088866250 @default.
- W3111366854 cites W2093768254 @default.
- W3111366854 cites W2097973719 @default.
- W3111366854 cites W2100332042 @default.
- W3111366854 cites W2127961257 @default.
- W3111366854 cites W2129013743 @default.
- W3111366854 cites W2132093718 @default.
- W3111366854 cites W2136340804 @default.
- W3111366854 cites W2151863350 @default.
- W3111366854 cites W2152161790 @default.
- W3111366854 cites W2156601771 @default.
- W3111366854 cites W2162635690 @default.
- W3111366854 cites W2169934749 @default.
- W3111366854 cites W2215168096 @default.
- W3111366854 cites W2266565428 @default.
- W3111366854 cites W2511274580 @default.
- W3111366854 cites W2626159553 @default.
- W3111366854 cites W2698658463 @default.
- W3111366854 cites W2756444473 @default.
- W3111366854 cites W2760877408 @default.
- W3111366854 cites W2766425260 @default.
- W3111366854 cites W2779495751 @default.
- W3111366854 cites W2783998967 @default.
- W3111366854 cites W2896341873 @default.
- W3111366854 cites W2904795343 @default.
- W3111366854 cites W2929291387 @default.
- W3111366854 cites W2949676527 @default.
- W3111366854 cites W2964337638 @default.
- W3111366854 cites W2965794323 @default.
- W3111366854 cites W2967930848 @default.
- W3111366854 cites W2967987700 @default.
- W3111366854 cites W2981790028 @default.
- W3111366854 cites W3081994904 @default.
- W3111366854 cites W3168008646 @default.
- W3111366854 cites W4250364582 @default.
- W3111366854 cites W4255240758 @default.
- W3111366854 cites W572355794 @default.
- W3111366854 cites W843185653 @default.
- W3111366854 doi "https://doi.org/10.1109/tfuzz.2020.3044236" @default.
- W3111366854 hasPublicationYear "2022" @default.
- W3111366854 type Work @default.
- W3111366854 sameAs 3111366854 @default.
- W3111366854 citedByCount "2" @default.
- W3111366854 countsByYear W31113668542021 @default.
- W3111366854 crossrefType "journal-article" @default.
- W3111366854 hasAuthorship W3111366854A5008133189 @default.
- W3111366854 hasAuthorship W3111366854A5035858702 @default.
- W3111366854 hasConcept C119857082 @default.
- W3111366854 hasConcept C124101348 @default.
- W3111366854 hasConcept C138496976 @default.
- W3111366854 hasConcept C154945302 @default.
- W3111366854 hasConcept C15744967 @default.
- W3111366854 hasConcept C184898388 @default.
- W3111366854 hasConcept C2780049643 @default.
- W3111366854 hasConcept C2781256819 @default.
- W3111366854 hasConcept C33923547 @default.
- W3111366854 hasConcept C41008148 @default.
- W3111366854 hasConcept C42011625 @default.
- W3111366854 hasConcept C58166 @default.
- W3111366854 hasConceptScore W3111366854C119857082 @default.
- W3111366854 hasConceptScore W3111366854C124101348 @default.
- W3111366854 hasConceptScore W3111366854C138496976 @default.
- W3111366854 hasConceptScore W3111366854C154945302 @default.
- W3111366854 hasConceptScore W3111366854C15744967 @default.
- W3111366854 hasConceptScore W3111366854C184898388 @default.
- W3111366854 hasConceptScore W3111366854C2780049643 @default.
- W3111366854 hasConceptScore W3111366854C2781256819 @default.
- W3111366854 hasConceptScore W3111366854C33923547 @default.
- W3111366854 hasConceptScore W3111366854C41008148 @default.
- W3111366854 hasConceptScore W3111366854C42011625 @default.
- W3111366854 hasConceptScore W3111366854C58166 @default.
- W3111366854 hasIssue "3" @default.
- W3111366854 hasLocation W31113668541 @default.
- W3111366854 hasOpenAccess W3111366854 @default.
- W3111366854 hasPrimaryLocation W31113668541 @default.
- W3111366854 hasRelatedWork W1123195735 @default.
- W3111366854 hasRelatedWork W1719987419 @default.
- W3111366854 hasRelatedWork W1983088179 @default.
- W3111366854 hasRelatedWork W1991172126 @default.