Feature Selection and Radial Basis Function Network for Parkinson Disease Classification

• Main Authors: Ibrahim, Ashraf Osman, Hussien, Walaa Akif, Yagoop, Ayat Mohammoud, Mohd Arfian, Ismail
• 格式: Article
• 語言: English
• 出版: Sulaimani Polytechnic University - SPU 2017
• 主題: QA75 Electronic computers. Computer science
• 在線閱讀: http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf; http://umpir.ump.edu.my/id/eprint/20035/; http://kjar.spu.edu.iq/index.php/kjar/article/view/137

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...