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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sulaimani Polytechnic University - SPU
2017
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/20035/ http://umpir.ump.edu.my/id/eprint/20035/ http://umpir.ump.edu.my/id/eprint/20035/ http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf |