Application of hierarchical classifier to minimal synchronizing word problem

  • Authors:
  • Igor T. Podolak;Adam Roman;Dariusz Jędrzejczyk

  • Affiliations:
  • Institute of Computer Science, Jagiellonian University, Poland;Institute of Computer Science, Jagiellonian University, Poland;Institute of Computer Science, Jagiellonian University, Poland

  • Venue:
  • ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
  • Year:
  • 2012

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Abstract

We present a practical application of Hierarchical Classifier with overlapping clusters to the problem of finding the minimal synchronizing word length of a given finite automaton. We compare our approach with a single neural network model. Using a certain representation of automaton as the classifier's input we improve HC efficiency and we are able to analyze the relation between particular automata features and minimal synchronizing lengths.