KLASIFIKASI SUARA JANTUNG MENGGUNAKAN JARINGAN NEURAL DENGAN CIRI STATISTIS DAN SPEKTRAL
Feature extraction becomes a very important part in exploring the dynamics of the data contained in the heart sound. In particular to distinguish the normal heart sounds and different types of murmurs. Therefore it is necessary to learn effective feature extraction method. To improve the prediction...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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