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Regression Modeling with Fuzzy Relations

  • Rafał Scherer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5097)

Abstract

In the paper relational neuro-fuzzy systems are described with additional fuzzy relation connecting input and output linguistic fuzzy terms. Thanks to this the fuzzy rules have more complicated structure and can be better suited the task. Fuzzy clustering and relational equations are used to obtain the initial set of fuzzy rules and systems are then learned by the backpropagation algorithm.Simulations shows excellent performance of the modified neuro-fuzzy systems.

Keywords

Fuzzy System Fuzzy Rule Fuzzy Cluster Fuzzy Relation Fuzzy Relational Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Rafał Scherer
    • 1
    • 2
  1. 1.Department of Computer EngineeringCzȩstochowa University of TechnologyCzȩstochowaPoland
  2. 2.Department of Artificial IntelligenceAcademy of Humanities and Economics in LodzŁódźPoland

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