Fuzzy-neural networks for medical diagnosis

dc.contributor.authorŞenol, Canan
dc.contributor.authorYıldırım, Tülay
dc.date.accessioned2019-06-28T11:11:26Z
dc.date.available2019-06-28T11:11:26Z
dc.date.issued2010
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this paper a novel fuzzy-neural network architecture is proposed and the algorithm is developed. Using this new architecture fuzzy-CSFNN fuzzy-MLP and fuzzy-RBF configurations were constituted and their performances have been compared on medical diagnosis problems. Here conic section function neural network (CSFNN) is also a hybrid neural network structure that unifies the propagation rules of multilayer perceptron (MLP) and radial basis function (RBF) neural networks at a unique network by its distinctive propagation rules. That means CSFNNs accommodate MLPs and RBFs in its own self-network structure. The proposed hybrid fuzzy-neural networks were implemented in a well-known benchmark medical problems with real clinical data for thyroid disorders breast cancer and diabetes disease diagnosis. Simulation results show that proposed hybrid structures outperform both MATLAB-ANFIS and non-hybrid structures. © 2010 Inderscience Enterprises Ltd.en_US]
dc.identifier.citation1
dc.identifier.doi10.1504/IJRIS.2010.036873en_US
dc.identifier.endpage271
dc.identifier.issn1755-0556en_US
dc.identifier.issn1755-0556
dc.identifier.scopus2-s2.0-84952972764en_US
dc.identifier.scopusqualityQ4
dc.identifier.startpage265en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1581
dc.identifier.urihttps://doi.org/10.1504/IJRIS.2010.036873
dc.identifier.volume2en_US
dc.identifier.wosqualityN/A
dc.institutionauthorŞenol, Cananen_US
dc.language.isoenen_US
dc.relation.journalInternational Journal of Reasoning-based Intelligent Systemsen_US
dc.relation.journalInternational Journal of Reasoning-based Intelligent Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfuzzy neural networksen_US
dc.subjectfuzzy-CSFNNen_US
dc.subjectfuzzy-MLPen_US
dc.subjectfuzzy-neural hybrid schemesen_US
dc.subjectfuzzy-RBFen_US
dc.subjectmedical diagnosisen_US
dc.titleFuzzy-neural networks for medical diagnosisen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files