Diagnosing Parkinson’s Diseases Using Fuzzy Neural System
Joint Authors
Abiyev, Rahib H.
Abizade, Sanan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson’s disease.
A diagnosing of Parkinson’s diseases is performed using fusion of the fuzzy system and neural networks.
The structure and learning algorithms of the proposed fuzzy neural system (FNS) are presented.
The approach described in this paper allows enhancing the capability of the designed system and efficiently distinguishing healthy individuals.
It was proved through simulation of the system that has been performed using data obtained from UCI machine learning repository.
A comparative study was carried out and the simulation results demonstrated that the proposed fuzzy neural system improves the recognition rate of the designed system.
American Psychological Association (APA)
Abiyev, Rahib H.& Abizade, Sanan. 2016. Diagnosing Parkinson’s Diseases Using Fuzzy Neural System. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100061
Modern Language Association (MLA)
Abiyev, Rahib H.& Abizade, Sanan. Diagnosing Parkinson’s Diseases Using Fuzzy Neural System. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1100061
American Medical Association (AMA)
Abiyev, Rahib H.& Abizade, Sanan. Diagnosing Parkinson’s Diseases Using Fuzzy Neural System. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100061
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100061