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Deterministic annealing integrated with ε-insensitive learning in neuro-fuzzy systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In this paper a new method of parameters estimation for neuro-fuzzy system with parameterized consequents is presented. The novelty of the learning algorithm consists of an application of the deterministic annealing method integrated with ε-insensitive learning. This method allows to improve neuro-fuzzy modeling quality in the sense of an increase in generalization ability and outliers robustness. To demonstrate performance of the proposed procedure two numerical experiments concerning benchmark problems of prediction and identification are given.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - ICAISC 2006 - 8th International Conference, Proceedings
PublisherSpringer Verlag
Pages220-229
Number of pages10
ISBN (Print)3540357483, 9783540357483
DOIs
Publication statusPublished - 2006
Event8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006 - Zakopane, Poland
Duration: 25 Jun 200629 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4029 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006
Country/TerritoryPoland
CityZakopane
Period25/06/0629/06/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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