Loading [a11y]/accessibility-menu.js
GA optimisation of Non-Singleton Fuzzy Logic System for ECG classification | IEEE Conference Publication | IEEE Xplore

GA optimisation of Non-Singleton Fuzzy Logic System for ECG classification


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 classific...Show More

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.
Date of Conference: 25-28 September 2007
Date Added to IEEE Xplore: 07 January 2008
ISBN Information:

ISSN Information:

Conference Location: Singapore

References

References is not available for this document.