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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Computing, Telecommunication and Control</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Информатика, телекоммуникации и управление</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2687-0517</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">11</article-id>
      <title-group>
        <article-title>Neural network model of the smelting process of copper-containing raw materials nickels in furnaces Vanyukov</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Нейросетевая модель процесса плавки медного никельсодержащего сырья в печах Ванюкова</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Kostin</surname>
            <given-names>Evgeniy</given-names>
          </name>
          <email>kostin_engenii@bk.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pisarev</surname>
            <given-names>Aleksandr</given-names>
          </name>
          <email>apissarev@yandex.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-02-10">
        <day>10</day>
        <month>02</month>
        <year>2012</year>
      </pub-date>
      <issue>1</issue>
      <issue-id pub-id-type="publisher-id">140</issue-id>
      <fpage>67</fpage>
      <lpage>72</lpage>
      <abstract xml:lang="en">
        <p>The paper proposed a neural network model of the smelting process of copper-containing raw materials Nickels in furnaces Vanyukov. The complexity of the problem is caused by multifactorial process. Feature of the model lies in the use of neural network based on classifier Kohonen networks and radial basis functions network.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>neural network model</kwd>
        <kwd>furnace Vanyukov</kwd>
        <kwd>RBF network</kwd>
        <kwd>radial basis function activation</kwd>
        <kwd>the Kohonen network</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
