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|Title:||GA optimisation of non-singleton fuzzy logic system for ECG classification||Authors:||Chua, T.W.
|Issue Date:||2007||Citation:||Chua, T.W.,Tan, W.W. (2007). GA optimisation of non-singleton fuzzy logic system for ECG classification. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 1677-1684. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4424675||Abstract:||This paper studies the ability of a non-singleton fuzzy logic system (NSFLS) that is evolved using Genetic Algorithm (GA) to handle the uncertainties in pattern classification problems. The performance of non-singleton and singleton systems for cardiac arrhythmias classification is compared. Results show that NSFLS can deal with uncertainty within its framework more efficiently, thereby enabling classification to be performed using features that are easier to extract. ©2007 IEEE.||Source Title:||2007 IEEE Congress on Evolutionary Computation, CEC 2007||URI:||http://scholarbank.nus.edu.sg/handle/10635/70407||ISBN:||1424413400||DOI:||10.1109/CEC.2007.4424675|
|Appears in Collections:||Staff Publications|
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