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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">INF7409</article-id><article-id pub-id-type="doi">10.3233/INF-1996-7409</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Analysis of multivariate function structure in classification problems</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Šaltenis</surname><given-names>Vydūnas</given-names></name><email xlink:href="mailto:saltenis@ktl.mii.lt">saltenis@ktl.mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Mathematics and Informatics, Akademijos 4, 2600 Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>1996</year></pub-date><volume>7</volume><issue>4</issue><fpage>525</fpage><lpage>541</lpage><abstract><p>In the present paper, the method of structure analysis for multivariate functions was applied to rational approximation in classification problems. Then the pattern recognition and generalisation ability was investigated experimentally in numerical recognition. A comparison with Hopfield Net was carried out. The overall results of using of new approach may be treated as a success.</p></abstract><kwd-group><label>Keywords</label><kwd>multivariate functions</kwd><kwd>pattern recognition</kwd><kwd>neural networks</kwd><kwd>optimisation</kwd></kwd-group></article-meta></front></article>