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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 xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">https://www.elibrary.ru/title_about_new.asp?i</journal-id>
      <journal-title-group>
        <journal-title>Global Energy</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Глобальная энергия</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-6724</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">29</article-id>
      <title-group>
        <article-title>NEURONETWORK TECHNIQUE FOR STRATEGIC PIANNING OF EDUCATIONAL ACTIVITY OF HIGHER EDUCATION INSTITUTION</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Нейросетевая методика для стратегического планирования образовательной деятельности вуза</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Cheremiskina</surname>
            <given-names>Elena</given-names>
          </name>
          <email>elenacheremiskina@yandex.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moskalev</surname>
            <given-names>Alexander</given-names>
          </name>
          <email>ak_moskalev@mail.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2013-12-10">
        <day>10</day>
        <month>12</month>
        <year>2013</year>
      </pub-date>
      <issue>4</issue>
      <issue-id pub-id-type="publisher-id">183</issue-id>
      <issue-part>2</issue-part>
      <fpage>211</fpage>
      <lpage>216</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://engtech.spbstu.ru/userfiles/files/articles/2013/4/29_cheremisina.pdf"/>
      <abstract xml:lang="en">
        <p>This paper presents an approach that uses a neural network methodology, evaluation of the univer- sity through the demand and success of graduates in the labor market. The results of questionnaire of teachers and directors of general schools of the Krasnoyarsk edge were analyzed for the purpose their success with the professional activity. On the basis of the sociological survey of graduates was established neural network classifier with an optimal set of relevant indicators of success.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>EDUCATION ACTIVITY</kwd>
        <kwd>SUCCESS</kwd>
        <kwd>NEURAL NATWORK CLASSIFIER.</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
