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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">INF12305</article-id><article-id pub-id-type="doi">10.3233/INF-2001-12305</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Pre-processing of Data for Nonlinear Mapping</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Montvilas</surname><given-names>Algirdas Mykolas</given-names></name><email xlink:href="mailto:montvila@ktl.mii.lt">montvila@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, A. Goštauto 12, 2600 Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2001</year></pub-date><volume>12</volume><issue>3</issue><fpage>431</fpage><lpage>438</lpage><history><date date-type="received"><day>01</day><month>05</month><year>2001</year></date></history><abstract><p>The sequential nonlinear mapping is suitable for sequential detection of states of dynamic systems (Montvilas, 1999a). In addition, it can indicate the undesirable states and even the damages of dynamic systems. The last is complicated when the damage is caused by a small changing of respective parameter describing the state. In the paper the problem of nonlinear mapping to be sensitive for the small changing of parameters and the problem related with dimensionality of parameters are solved by using a special pre-processing of data. Examples are given.</p></abstract><kwd-group><label>Keywords</label><kwd>nonlinear mapping</kwd><kwd>dynamic systems</kwd><kwd>states estimation</kwd><kwd>pre-processing of data</kwd></kwd-group></article-meta></front></article>