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NTIS 바로가기한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.23 no.12, 2019년, pp.1542 - 1550
조익성 (Department of Creative Integrated General Studies, Daegu University) , 권혁숭 (Department of IT Engineering, Pusan National University)
Legacy studies for classifying arrhythmia have been studied to improve the accuracy of classification, Neural Network, Fuzzy, etc. Deep learning is most frequently used for arrhythmia classification using error backpropagation algorithm by solving the limit of hidden layer number, which is a problem...
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