Constructing dense fuzzy systems by adaptive scheduling of optimization algorithms

Krisztián Balázs, László T. Kóczy

Research output: Conference contribution

1 Citation (Scopus)

Abstract

In this paper dense fuzzy rule based systems are constructed for solving machine learning problems. During the knowledge extraction process a scheduling approach is applied, which adaptively switches between the different optimization algorithms based on their convergence speed in the phases of the learning process, i.e. according to their respective local efficiency.

Original languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages280-285
Number of pages6
DOIs
Publication statusPublished - okt. 31 2013
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: jún. 24 2013jún. 28 2013

Publication series

NameProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Other

Other9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
CountryCanada
CityEdmonton, AB
Period6/24/136/28/13

    Fingerprint

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Balázs, K., & Kóczy, L. T. (2013). Constructing dense fuzzy systems by adaptive scheduling of optimization algorithms. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 (pp. 280-285). [6608413] (Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013). https://doi.org/10.1109/IFSA-NAFIPS.2013.6608413