Feature Selection and Radial Basis Function Network for Parkinson Disease Classification

Feature Selection and Radial Basis Function Network for Parkinson Disease Classification

Recently, several works have focused on detection of a different disease using computational intelligence techniques. In this paper, we applied feature selection method and radial basis function neural network (RBFN) to classify the diagnosis of Parkinson’s disease. The feature selection (FS) method...

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Bibliographic Details
Main Authors: Ashraf Osman Ibrahim, Walaa Akif Hussien, Ayat Mohammoud Yagoop, Mohd Arfian Ismail
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2017-08-01
Series:Kurdistan Journal of Applied Research
Subjects:
Parkinson’s disease, feature selection, artificial neural networks, classification, radial basis function, attributes reduction.
Online Access:http://kjar.spu.edu.iq/index.php/kjar/article/view/137

Internet

http://kjar.spu.edu.iq/index.php/kjar/article/view/137

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