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Mathematical Formulation of a Type of Hierarchical Neurofuzzy System

  • Omar Sánchez
  • Sixto Romero
  • Francisco Moreno
  • Miguel A. Vélez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

Abstract

This paper presents a class of hierarchical fuzzy system applied to a cigar classification system. The weight, texture and chromatic characteristics are used to classify multiple cigars using a previous classification based on heuristic knowledge. In the adaptive part, a gradient descendent and error backpropagation method is applied for adjusting the parameters. A detailed description of the algorithm is addressed. Copyright © 2005 IFAC.

Keywords

Fuzzy Rule Force Sensor Heuristic Knowledge Chromatic Characteristic Cigar Smoker 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Omar Sánchez
    • 1
  • Sixto Romero
    • 1
  • Francisco Moreno
    • 1
  • Miguel A. Vélez
    • 1
  1. 1.Escuela Politécnica SuperiorHuelva University, Ctra. Palos de la Frontera-HuelvaLa Rábida (Huelva)Spain

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