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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: 
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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