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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="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>π-Economy</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>π-Economy</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-6015</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">21</article-id>
      <title-group>
        <article-title>The combined approach of neural network forecasting of the industrial price index (on the agriculture example)</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Комбинированный подход нейросетевого прогнозирования производственного индекса цен (на примере агропромышленного комплекса)</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Lenshova</surname>
            <given-names>Tatyana</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chijikov</surname>
            <given-names>Sergey</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2009-06-10">
        <day>10</day>
        <month>06</month>
        <year>2009</year>
      </pub-date>
      <issue>3</issue>
      <issue-id pub-id-type="publisher-id">79</issue-id>
      <fpage>119</fpage>
      <lpage>125</lpage>
      <abstract xml:lang="en">
        <p>In work bases of application of continuous vejvlet-transformation are stated at modelling of price tendencies in the sugar market. On the basis of the vejvlet-analysis of a time number of an industrial price index on sugar local features are revealed and the prelook-ahead information of behaviour of the sugar market is received. For reception of look-ahead values by authors the combined approach to use of neural networks and toolkit of the discrete vejvlet-analysis is offered.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>THE COMBINED APPROACH</kwd>
        <kwd>NEURAL NETWORKS FORECASTING</kwd>
        <kwd>THE INDUSTRIAL PRICE INDEX</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
