Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87264
Type: Artigo de evento
Title: Evolving Fuzzy-model-based On C-regression Clustering
Author: Skrjanc I.
Dovzan D.
Gomide F.
Abstract: In this paper a new approach to data stream evolving fuzzy model identification is given. The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves the evolving properties. The method is given in a recursive form. The proposed approach is shown with two simple examples of nonlinear system approximation and nonlinear dynamical system modelling.
Editor: Institute of Electrical and Electronics Engineers Inc.
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84920528348&partnerID=40&md5=fbf06a7afef34eb4b648b18f1bb4a798
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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