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Diagnosing Parkinson's Diseases Using Fuzzy Neural System
2016
Computational and Mathematical Methods in Medicine
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
doi:10.1155/2016/1267919
pmid:26881009
pmcid:PMC4736962
fatcat:jtrgpyytevdg3j2kfnfprnuuau