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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">inf15404</article-id><article-id pub-id-type="doi">10.15388/Informatica.2004.074</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Conceptions and Modeling for Transmitted Information Evaluation by ANN</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Garliauskas</surname><given-names>Algis</given-names></name><email xlink:href="mailto:galgis_1@ktl.mii.lt">galgis_1@ktl.mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Vilnius Gediminas Technical University &amp; Institute of Mathematics and Informatics, Saulėtekio 11, LT‐2054, Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2004</year></pub-date><volume>15</volume><issue>4</issue><fpage>475</fpage><lpage>488</lpage><history><date date-type="received"><day>01</day><month>09</month><year>2004</year></date></history><abstract><p>In this paper, the main measure, an amount of information, of the information theory is analyzed and corrected. The three conceptions of the theory on the microstate, dissipation pathways, and self‐organization levels with a tight connection to the statistical physics are discussed. The concepts of restricted information were introduced as well as the proof of uniqueness of the entropy function, when the probabilities are rational numbers, is presented.</p><p>The artificial neural network (ANN) model for mapping the evaluation of transmitted information has been designed and experimentally approbated in the biological area.</p></abstract><kwd-group><label>Keywords</label><kwd>information theory</kwd><kwd>entropy</kwd><kwd>amount of information</kwd><kwd>artificial neural networks</kwd></kwd-group></article-meta></front></article>