Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data

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Бібліографічні деталі
Дата:2016
Автор: D. V. Stefanyshyn
Формат: Стаття
Мова:English
Опубліковано: 2016
Назва видання:System researches & information technologies
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0001079137
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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spelling open-sciencenbuvgovua-566412024-02-29T13:25:13Z Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data D. V. Stefanyshyn 1681-6048 2016 en System researches & information technologies http://jnas.nbuv.gov.ua/article/UJRN-0001079137 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series System researches & information technologies
spellingShingle System researches & information technologies
D. V. Stefanyshyn
Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
format Article
author D. V. Stefanyshyn
author_facet D. V. Stefanyshyn
author_sort D. V. Stefanyshyn
title Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_short Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_full Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_fullStr Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_full_unstemmed Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_sort situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
publishDate 2016
url http://jnas.nbuv.gov.ua/article/UJRN-0001079137
work_keys_str_mv AT dvstefanyshyn situationalandinductivemodellinginproblemsofextrapolationforecastingbasedonmonitoringdata
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