On-Line Modeling Via Fuzzy Support Vector Machines

  • Authors:
  • Julio César Tovar;Wen Yu

  • Affiliations:
  • Departamento de Control Automático, CINVESTAV-IPN, México D.F., México 07360;Departamento de Control Automático, CINVESTAV-IPN, México D.F., México 07360

  • Venue:
  • MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

This paper describes a novel nonlinear modeling approach by on-line clustering, fuzzy rules and support vector machine. Structure identification is realized by an on-line clustering method and fuzzy support vector machines, the fuzzy rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, the upper bounds of the modeling errors are proven.