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Comparison of training algorithms in neural network modeling of gamma spectrometric uncertainty
dc.creator | Dragović, Snežana D. | |
dc.creator | Stanković, Slavka | |
dc.creator | Onjia, Antonije E. | |
dc.date.accessioned | 2021-08-30T11:29:48Z | |
dc.date.available | 2021-08-30T11:29:48Z | |
dc.date.issued | 2004 | |
dc.identifier.isbn | 86-82457-12-x | |
dc.identifier.uri | https://vinar.vin.bg.ac.rs/handle/123456789/9510 | |
dc.description.abstract | A three-layer feed-forward artificial neural network with six different algorithms applied on different training sets was used to model uncertainties of activity levels of eight radionuclides (226Ra, 238U, 235U, 40K, 232Th, 134Cs, 137Cs and 7Be) in soil samples as a function of measurement time. The performance of applied neural network architecture is found to be very good, with correlation (R2) values between measured and predicted uncertainties ranging from 0.9291 for 7Be to 0.9915 for 137Cs. | |
dc.publisher | Society of Physical Chemists of Serbia | |
dc.rights | openAccess | |
dc.source | Physical chemistry 2004: 7th international conference on fundemental and applied aspract of physical chemistry | |
dc.title | Comparison of training algorithms in neural network modeling of gamma spectrometric uncertainty | |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dcterms.abstract | Станковић, Славка; Оњиа, Aнтоније Е.; Драговић, Снежана Д.; | |
dc.rights.holder | Society of Physical Chemists of Serbia | |
dc.citation.volume | 1 | |
dc.citation.spage | 438 | |
dc.citation.epage | 440 | |
dc.citation.other | F–6–P | |
dc.description.other | Physical chemistry 2004 : 7th international conference on fundamental and applied aspects of physical chemistry; Belgrade (Serbia); 21-23 September 2004 | |
dc.type.version | publishedVersion | |
dc.identifier.fulltext | http://vinar.vin.bg.ac.rs/bitstream/id/30307/bitstream_30307.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_vinar_9510 |
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