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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">kaz29-283</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCES</subject></subj-group></article-categories><title-group><article-title>МОДЕЛИРОВАНИЕ ПРОГНОЗА ЦЕНЫ НА КРИПТОВАЛЮТУ С ИСПОЛЬЗОВАНИЕМ НЕЙРОННЫХ СЕТЕЙ</article-title><trans-title-group xml:lang="en"><trans-title>MODELING FORECAST CRYPTOCURRENCY PRICE QUOTES USING NEURAL NETWORKS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Амзе</surname><given-names>Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Amze</surname><given-names>D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент</p></bio><bio xml:lang="en"><p>Kazakh British Technical University</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахстанско-Британский технический университет<country>Казахстан</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>15</day><month>11</month><year>2021</year></pub-date><volume>17</volume><issue>4</issue><fpage>125</fpage><lpage>130</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Амзе Д., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Амзе Д.</copyright-holder><copyright-holder xml:lang="en">Amze D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.kbtu.edu.kz/jour/article/view/283">https://vestnik.kbtu.edu.kz/jour/article/view/283</self-uri><abstract><p>В современных условиях формирования рынка криптовалют исследования по моделированию прогнозов ценовых котировок приобретают особое значение.</p><p>Научно-методические разработки по данной теме могут быть полезны как юридическим, так и физическим лицам. В развитых странах колебания на этом рынке все меньше зависят от нерыночных факторов и политического влияния, что подтверждает необходимость объективных исследований в этой области. В результате введение прогнозного моделирования котировок криптовалюты может дать определенный экономический эффект, конкретную финансовую выгоду для физических и юридических лиц и заслуживает дальнейшего изучения более обширного набора данных.</p></abstract><trans-abstract xml:lang="en"><p>In the current conditions of the formation of the cryptocurrency market, studies on modeling forecasts of price quotations are of particular importance. In advanced developed countries, fluctuations in this market are less and less dependent on political influence and the influence of other non-market factors, which confirms the need for objective research in this area. Scientific and methodological developments on this topic can be useful for both legal entities and individuals.</p><p>As a result, the introduction of predictive modeling of cryptocurrency quotes can give a certain economic effect, a specific financial benefit to individuals and legal entities and deserves further study on a more extensive data set.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>криптовалюта</kwd><kwd>нейронная сеть</kwd><kwd>прогнозирование</kwd><kwd>нейронная сеть обратного распространения</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Cryptocurrency</kwd><kwd>Neural network</kwd><kwd>Forecasting</kwd><kwd>Backpropagation neural network</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Wassermen F. Neurocomputer technology: theory and practice. M .: Mir, 1992.</mixed-citation><mixed-citation xml:lang="en">Wassermen F. 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