Deakin University

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

conference contribution
posted on 2023-02-22, 04:54 authored by S Hassan, J Jaafar, M A Khanesar, Abbas KhosraviAbbas Khosravi
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.



334 - 339



Title of proceedings

2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings