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Parkinson’s disease diagnosis using speech signal and deep residual gated recurrent neural network

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Fig. 1. Framework of training and testing procedure  for proposed system.
Fig. 2. Block diagram of DRGRNN.
Table 2 는 실험 결과를 나타낸다. 기존의 식별 알고 리즘 중에서는 GA와 SVM을 결합한 모델의 정확도 가 93.6 %로 REPTree, kNN(k-Nearest Neighbor) [12] 보다  높게 나타났으며, 심층 신경망 구조의 LSTM과 GRU 의 정확도는 각각 96.2 %와 96.5 %로 GA와 SVM을 결 합한 기존의 알고리즘보다 약 2.6 %, 2.9 % 향상되었 다

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