About: Multilayer Ensemble Evolving Fuzzy Inference System

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #90184 Multilayer Ensemble Evolving Fuzzy Inference System
sameAs	Multilayer Ensemble Evolving Fuzzy Inference System
Title	Multilayer Ensemble Evolving Fuzzy Inference System
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2021-08-01
Creator	Xiaowei Gu
status	peer reviewed published
Publisher	IEEE
abstract	In order to tackle high dimensional, complex problems, learning models have to go deeper. In this article, a novel multilayer ensemble learning model with first-order evolving fuzzy systems as its building blocks is introduced. The proposed approach can effectively learn from streaming data on a sample-by-sample basis and self-organizes its multilayered system structure and meta-parameters in a feedforward, noniterative manner. Benefiting from its multilayered distributed representation learning ability, the ensemble system not only demonstrates the state-of-the-art performance on various problems, but also offers high level of system transparency and explainability. Theoretical justifications and experimental investigation show the validity and effectiveness of the proposed concept and general principles.
Is Part Of	IEEE Transactions on Fuzzy Systems https://kar.kent.ac.uk/id/repository
Subject	QA 75 Electronic computers. Computer science
list of authors	https://kar.kent.ac.uk/id/eprint/90184#authors
issue	8
volume	29
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #90184 Multilayer Ensemble Evolving Fuzzy Inference System

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