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1篇 您的检索式:作者名="Shaghayegh Vahdat"
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1Parkinson’s Disease Detection Using Biogeography-Based Optimization显示文摘In recent years,Parkinson’s Disease(PD)as a progressive syndrome of the nervous system has become highly prevalent worldwide.In this study,a novel hybrid technique established by integrating a Multi-layer Perceptron Neural Network(MLP)with the Biogeography-based Optimization(BBO)to classify PD based on a series of biomedical voice measurements.BBO is employed to determine the optimal MLP parameters and boost prediction accuracy.The inputs comprised of 22 biomedical voice measurements.The proposed approach detects two PD statuses:0-disease status and 1-good control status.The performance of proposed methods compared with PSO,GA,ACO and ES method.The outcomes affirm that the MLP-BBO model exhibits higher precision and suitability for PD detection.The proposed diagnosis system as a type of speech algorithm detects early Parkinson’s symptoms,and consequently,it served as a promising new robust tool with excellent PD diagnosis performance.Somayeh Hessam Shaghayegh Vahdat Irvan Masoudi Asl Mahnaz Kazemipoor Atefeh Aghaei Shahaboddin Shamshirband Timon Rabczuk 2019Computers, Materials & Continua2019,,7:1
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