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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Bibliografiske detaljer
Main Authors: Ibrahim, Ashraf Osman, Hussien, Walaa Akif, Yagoop, Ayat Mohammoud, Mohd Arfian, Ismail
Format: Article
Sprog:English
Udgivet: Sulaimani Polytechnic University - SPU 2017
Fag:
QA75 Electronic computers. Computer science
Online adgang:http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf

Internet

http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf

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