Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data

Saima Hassan, Jafreezal Jaafar, Mojtaba A. Khanesar, Abbas Khosravi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The major challenge in the design of Interval type-2 fuzzy logic system (IT2FLS) is to determine the optimal parameters for their antecedent and consequent parts. This paper propose a novel hybrid learning algorithm for the design of IT2FLS. The proposed hybrid learning algorithm utilizes the combination of extreme learning machine (ELM) and artificial bee colony optimization (ABC) to tune the parameters of the consequent and antecedent parts of the IT2FLS, respectively. The effective forecasting performance of the proposed hybrid learning algorithm is analyzed by modeling a chaotic data set. It is found that the forecasted errors gradually decrease with decrease in the level of noise in data and vise versa.

Original languageEnglish
Title of host publication2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date14 Dec 2016
Pages334-339
Article number7783237
ISBN (Electronic)9781509051342
DOIs
Publication statusPublished - 14 Dec 2016
Externally publishedYes
Event3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Kuala Lumpur, Malaysia
Duration: 15 Aug 201617 Aug 2016

Conference

Conference3rd International Conference on Computer and Information Sciences, ICCOINS 2016
CountryMalaysia
CityKuala Lumpur
Period15/08/201617/08/2016

Keywords

  • Artificial bee colony optimization
  • Extreme learning machine
  • Forecasting
  • Hybrid learning algorithm
  • Interval type-2 fuzzy logic system

Cite this

Hassan, S., Jaafar, J., Khanesar, M. A., & Khosravi, A. (2016). Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data. In 2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings (pp. 334-339). [7783237] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCOINS.2016.7783237