Construction of consistent neural network empirical physical formulas for detector counts in neutron exit channel selection

Basit Öğe Kaydı
dc.contributor.authorAkkoyun, Serkan
dc.contributor.authorYildiz, Nihat
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:58:42Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:58:42Z
dc.date.issued2013
dc.department[Akkoyun, Serkan -- Yildiz, Nihat] Cumhuriyet Univ, Dept Phys, TR-58140 Sivas, Turkeyen_US
dc.description.abstractProper selection of neutron exit channels following heavy-ion reactions is important in nuclear structure physics. A knowledge of detector counts versus number of neutron interaction points per event can be useful in this selection. In this paper, we constructed layered feedforward neural networks (LFNNs) consistent empirical physical formulas (EPFs) to estimate the detector counts versus number of neutron interaction points per event. The LFNN-EPFs are of explicit mathematical functional form. Therefore, by various suitable operations of mathematical analysis, these LFNN-EPFs can be used to derivate further physical functions which might be potentially relevant to neutron exit channel selection. (C) 2013 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.measurement.2013.05.024en_US
dc.identifier.endpage3197en_US
dc.identifier.issn0263-2241
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-84881134803en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage3192en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.measurement.2013.05.024
dc.identifier.urihttps://hdl.handle.net/20.500.12418/8541
dc.identifier.volume46en_US
dc.identifier.wosWOS:000324298700022en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTDen_US
dc.relation.ispartofMEASUREMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeural networken_US
dc.subjectEmpirical physical formulaen_US
dc.subjectNeutron exit channelen_US
dc.titleConstruction of consistent neural network empirical physical formulas for detector counts in neutron exit channel selectionen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu