Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions

Krisztián Balázs, János Botzheim, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper various restrictions are proposed in the construction of hierarchical fuzzy rule bases by using Genetic and Bacterial Programming algorithms in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The properties (learning speed, accuracy) of the established systems are observed based on simulation results and they are compared to each other.

Original languageEnglish
Title of host publication2010 World Automation Congress, WAC 2010
Publication statusPublished - Dec 1 2010
Event2010 World Automation Congress, WAC 2010 - Kobe, Japan
Duration: Sep 19 2010Sep 23 2010

Publication series

Name2010 World Automation Congress, WAC 2010

Other

Other2010 World Automation Congress, WAC 2010
CountryJapan
CityKobe
Period9/19/109/23/10

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Keywords

  • Bacterial programming
  • Genetic programming
  • Hierarchical fuzzy systems

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Balázs, K., Botzheim, J., & Kóczy, L. T. (2010). Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions. In 2010 World Automation Congress, WAC 2010 [5665326] (2010 World Automation Congress, WAC 2010).