Results
eNauka >
Results >
Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry
| Title: | Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry | Authors: | Dragović, Snežana   ; Onjia, Antonije ; Bacić, Goran |
Issue Date: | 2006 | Publication: | Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors And | ISSN: | 0168-9002 Nuclear Instruments and Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment Search Idenfier |
Publisher: | Elsevier, Amsterdam | Type: | Article | Collation: | vol. 564 br. 1 str. 308-314 | DOI: | 10.1016/j.nima.2006.03.047 | WoS-ID: | 000239669500039 | Scopus-ID: | 2-s2.0-33745924967 | URI: | http://TechnoRep.tmf.bg.ac.rs/handle/123456789/970 https://enauka.gov.rs/handle/123456789/492148 |
Project: | Nove metode i tehnike za separaciju i specijaciju hemijskih elemenata u tragovima, organskih supstanci i radionuklida i identifikaciju njihovih izvora (RS-142039) | M-category: | 21aM21a |
18
SCOPUSTM
12
OpenCitations
15
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.