Artificial immune systems and ANN in PMR coding

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dc.contributor.authorSahan, S
dc.contributor.authorCeylan, R
dc.contributor.authorGunes, S
dc.date.accessioned2020-03-26T16:47:51Z
dc.date.available2020-03-26T16:47:51Z
dc.date.issued2004
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE 12th Signal Processing and Communications Applications Conference -- APR 28-30, 2004 -- Kusadasi, TURKEYen_US
dc.description.abstractThis study aims at introducing a new Artificial Intelligence technique especially beginned to be known newly in our country and models human immune system. Artificial Immune Systems (AIS) are increasing their application areas day by day and coming into existence as a prosperius problem solving technique with their performance on these applications. ABNET is an hybrid system proposed by F. N. De Castro, F. J. Von Zuben and Getulio A. De Deus Jr. that is a combination of Artificial Neural Networks and immune based metaphors. In this study, the coding in PMR (Private Mobile Radio) is performed with ABNET. To evaluate the results, same coding problem is solved with an ANN system, too. With respect to the results of both system, the applicability of ABNET to real world problems is discussed.en_US
dc.description.sponsorshipIEEE, Tubitak, Istanbul Teknik Univ, Aselsan, Profile Telre, TURCom, Sgi, Datacore, Diviten_US
dc.identifier.doi10.1109/SIU.2004.1338273en_US
dc.identifier.endpage124en_US
dc.identifier.isbn0-7803-8318-4
dc.identifier.startpage121en_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2004.1338273
dc.identifier.urihttps://hdl.handle.net/20.500.12395/18946
dc.identifier.wosWOS:000225861200031en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartofPROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCEen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleArtificial immune systems and ANN in PMR codingen_US
dc.typeConference Objecten_US

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