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|Type:||Artigo de evento|
|Title:||Evolving Fuzzy-model-based On C-regression Clustering|
|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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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