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    <title>ЭБ Коллекция:</title>
    <link>https://elib.bsu.by:443/handle/123456789/53850</link>
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        <rdf:li rdf:resource="https://elib.bsu.by:443/handle/123456789/53897" />
        <rdf:li rdf:resource="https://elib.bsu.by:443/handle/123456789/53896" />
        <rdf:li rdf:resource="https://elib.bsu.by:443/handle/123456789/53895" />
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    <dc:date>2026-04-20T09:36:50Z</dc:date>
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  <item rdf:about="https://elib.bsu.by:443/handle/123456789/53897">
    <title>Decision making technics for acquiring players who adapt to different systems of play</title>
    <link>https://elib.bsu.by:443/handle/123456789/53897</link>
    <description>Заглавие документа: Decision making technics for acquiring players who adapt to different systems of play
Авторы: Gil-Lafuente, J.
Аннотация: Over the last few year we have drawn up several models that have allowed us to optimize the selection of players for incorporation into a determined sport team. These options could complied with by assigning, when we already had at our disposal the necessary means (the complete team), to each of the positions of the tactical system, that is, those players that complied with, at any precise moment, all and each one of the characteristics that were necessary for each position. Nevertheless, the optimum result that is possible to obtain thanks to the use of the proposed algorithms, could be in vain if the maximum person responsible for the team were to opt, for whatever reason, to change the "philosophy of play". We propose a opti-mal way.</description>
    <dc:date>2003-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elib.bsu.by:443/handle/123456789/53896">
    <title>Remote sensing materials processing in soil cartography</title>
    <link>https://elib.bsu.by:443/handle/123456789/53896</link>
    <description>Заглавие документа: Remote sensing materials processing in soil cartography
Авторы: Konakh, V. V.; Topaz, A. A.
Аннотация: In the article the methods of topsoil humus content measuring by means of the remote sensing are being developed are researched. The classification of "Tulgovichi" key area topsoil is given.</description>
    <dc:date>2003-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elib.bsu.by:443/handle/123456789/53895">
    <title>Numerical experiment to program and feedback controls in observation problem</title>
    <link>https://elib.bsu.by:443/handle/123456789/53895</link>
    <description>Заглавие документа: Numerical experiment to program and feedback controls in observation problem
Авторы: Borzenkov, A. V.; Konovalov, O. L.
Аннотация: In our paper we consider the previous [1], [2] models. The problems of observation are formulated for similar models [3]. Those problems are closely adjoined to pattern recogni¬tion, ш paper [1] we describe an algorithm to construct a numerical optimal program and feedback controls in pulse functions class, in paper [2] - in measurable functions class consequently. Now we present results of numerical experience in MatLab 6 to all algorithms [1], [2] that constructs program and feedback optimal controls in a class of pulse and measurable func¬tions. We make some conclusion about process of numerical solution.</description>
    <dc:date>2003-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elib.bsu.by:443/handle/123456789/53893">
    <title>Data processing in the imitational agent-based model of financial market</title>
    <link>https://elib.bsu.by:443/handle/123456789/53893</link>
    <description>Заглавие документа: Data processing in the imitational agent-based model of financial market
Авторы: Senko, D. V.
Аннотация: Knowledge of dynamic properties of processes, that take place in finance is important in applications for derivatives pricing and risk control. The widely used Black and Scholes Theory assumes geometric Brownian motion of underlying asset price. However, an attempt to provide a model, which better describes price movements often leads to impossibility of studying the results analytically. Approach, which uses imitational models to study the dynamics in a complex system is a promising one. This paper presents the imitational model of the financial market, which is agent based, and provides a posibility to apply pattern recognition algorithms to build and calibrate a decision making support system in the financial market.</description>
    <dc:date>2003-01-01T00:00:00Z</dc:date>
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