dc.contributor.author | Secmen, M. | |
dc.contributor.author | Tasgetiren, M.F. | |
dc.date.accessioned | 2021-01-25T19:35:13Z | |
dc.date.available | 2021-01-25T19:35:13Z | |
dc.date.issued | 2013 | |
dc.identifier | 10.1049/iet-rsn.2012.0212 | |
dc.identifier.issn | 1751-8784 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/8112 | |
dc.description.abstract | In this study, an ensemble of differential evolution (DE) algorithms is presented to classify electromagnetic targets in resonance scattering region. The algorithm aims to synthesize a special incident signal for each target, which is defined as the main | |
dc.description.sponsorship | TUBITAK (The Scientific and Technological Research Council of Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [111E064, 110M622] | |
dc.language.iso | English | |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | |
dc.title | Ensemble of differential evolution algorithms for electromagnetic target recognition problem | |
dc.type | Article | |
dc.relation.firstpage | 780 | |
dc.relation.lastpage | 788 | |
dc.relation.volume | 7 | |
dc.relation.issue | 7 | |
dc.description.woscategory | Engineering, Electrical & Electronic; Telecommunications | |
dc.description.wosresearcharea | Engineering; Telecommunications | |
dc.identifier.wosid | WOS:000323565100008 | |