Complex neuro-fuzzy self-learning approach to function approximation

Chunshien Li, Tai Wei Chiang

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

16 Scopus citations


A new complex neuro-fuzzy self-learning approach to the problem of function approximation is proposed, where complex fuzzy sets are used to design a complex neuro-fuzzy system as the function approximator. Particle swarm optimization (PSO) algorithm and recursive least square estimator (RLSE) algorithm are used in hybrid way to adjust the free parameters of the proposed complex neuro-fuzzy systems (CNFS). The hybrid PSO-RLSE learning method is used for the CNFS parameters to converge efficiently and quickly to optimal or near-optimal solution. From the experimental results, the proposed CNFS shows better performance than the traditional neuro-fuzzy system (NFS) that is designed with regular fuzzy sets. Moreover, the PSO-RLSE hybrid learning method for the CNFS improves the rate of learning convergence, and shows better performance in accuracy. Three benchmark functions are used. With the performance comparisons shown in the paper, excellent performance by the proposed approach has been observed.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
Number of pages11
EditionPART 2
StatePublished - 2010
Event2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010 - Hue City, Viet Nam
Duration: 24 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5991 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
Country/TerritoryViet Nam
CityHue City


  • complex fuzzy set
  • complex neuro-fuzzy system (CNFS)
  • function approximation
  • machine learning
  • PSO
  • RLSE


Dive into the research topics of 'Complex neuro-fuzzy self-learning approach to function approximation'. Together they form a unique fingerprint.

Cite this