Combined Complex-Valued Artificial Neural Network (CCVANN)

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dc.contributor.authorCeylan, Murat
dc.date.accessioned2020-03-26T18:13:57Z
dc.date.available2020-03-26T18:13:57Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.descriptionWorld Congress on Engineering (WCE 2011) -- JUL 06-08, 2011 -- Imperial Coll, London, UNITED KINGDOMen_US
dc.description.abstractThis study presents a new version of complex valued artificial neural networks (CVANN) for the complex valued pattern recognition and classification. Proposed new method is called as combined complex-valued artificial neural network (CCVANN) which is a combination of two complex valued artificial neural networks. To check the validation of proposed method, complex-valued XOR benchmark problem is used. The accuracy of the CCVANN model is more satisfactory as compared to the existing studies in the literature. Moreover the proposed CCVANN models' results have lower recognition error than using a single CVANN model.en_US
dc.description.sponsorshipInt Assoc Engineers, IAENG, Soc Artificial Intelligence, IAENG, Soc Bioinformat, IAENG, Soc Computer Sci, IAENG, Soc Data Min, IAENG, Soc Elect Engn, IAENG, Soc Imagl Engn, IAENG, Soc Ind Engn, IAENG, Soc Informat Syst Engn, IAENG, Soc Internet Comput & Web Serv, IAENG, Soc Mech Engn, IAENG, Soc Operat Res, IAENG, Soc Sci Comput, IAENG, Soc Software Engn, IAENG, Soc Wireless Engnen_US
dc.description.sponsorshipCoordinatorship of Selcuk University's Scientific Research ProjectsSelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Coordinatorship of Selcuk University's Scientific Research Projects.en_US
dc.identifier.endpage959en_US
dc.identifier.isbn978-988-19251-4-5
dc.identifier.issn2078-0958en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage955en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26241
dc.identifier.wosWOS:000393012800007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherINT ASSOC ENGINEERS-IAENGen_US
dc.relation.ispartofWORLD CONGRESS ON ENGINEERING, WCE 2011, VOL IIen_US
dc.relation.ispartofseriesLecture Notes in Engineering and Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectComplex-valued artificial neural networken_US
dc.subjectcomplex-valued XOR problemen_US
dc.titleCombined Complex-Valued Artificial Neural Network (CCVANN)en_US
dc.typeConference Objecten_US

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