Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-47054-2_12
Reference21 articles.
1. Amador-Angulo L., Castillo O. Statistical Analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation of the BCO. IFSA-EUSFLAT, pp. 776-783, 2015.
2. Amezcua J., Melin P. A modular LVQ Neural Network with Fuzzy response integration for arrhythmia Classification. IEEE 2014 Conference on Norbert Wiener in the 21st century. Boston. June 2014.
3. Biswal B., Biswal M., Hasan S., Dash P.K. Nonstationary power signal time series data classification using LVQ classifier. Applied Soft Computing, Elsevier. Vol. 18, May 2014. pp. 158-166.
4. Castillo O., Melin P., Ramirez E., Soria J. Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system, Journal of Expert Systems with Applications, vol. 39 (3) 2012 pp. 2947-2955.
5. Grbovic M., Vucetic S. Regression Learning Vector Quantization. 2009 Ninth IEEE International Conference on Data Mining. Miami, December 2009.
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