Neuro-fuzzy structures for pattern classification

  • Authors:
  • Krzysztof Cpałka;Leszek Rutkowski

  • Affiliations:
  • Department of Computer Engineering, Technical University of Czestochowa, and Department of Artificial Intelligence, WSHE University in Łodz, Poland;Department of Computer Engineering, Technical University of Czestochowa, and Department of Artificial Intelligence, WSHE University in Łodz, Poland

  • Venue:
  • ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
  • Year:
  • 2005

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Abstract

In the paper we present a new class of neuro-fuzzy systems for pattern classification. The algorithm is based on the concept of adjustable triangular norms. Various flexibility components are incorporated into construction of neuro-fuzzy systems. A high accuracy of the algorithm is demonstrated.