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    <subfield code="a">10.1016/j.physd.2024.134510</subfield>
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    <subfield code="a">Mayora-Cebollero, Carmen</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-3431-0926</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Full Lyapunov exponents spectrum with Deep Learning from single-variable time series</subfield>
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    <subfield code="c">2024</subfield>
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    <subfield code="a">In this article we study if a Deep Learning technique can be used to obtain an approximate value of the Lyapunov exponents of a dynamical system. Moreover, we want to know if Machine Learning techniques are able, once trained, to provide the full Lyapunov exponents spectrum with just single-variable time series. We train a Convolutional Neural Network and use the resulting network to approximate the full spectrum using the time series of just one variable from the studied systems (Lorenz system and coupled Lorenz system). The results are quite surprising since all the values are well approximated with only partial data. This strategy allows to speed up the complete analysis of the systems and also to study the hyperchaotic dynamics in the coupled Lorenz system.</subfield>
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    <subfield code="a">Statistical and Nonlinear Physics</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Mayora-Cebollero, Ana</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-4802-2511</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Lozano, Álvaro</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-1184-5901</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Barrio, Roberto</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-8089-343X</subfield>
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  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="1">2006</subfield>
    <subfield code="2">440</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Matemáticas</subfield>
    <subfield code="c">Área Geometría y Topología</subfield>
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    <subfield code="1">2005</subfield>
    <subfield code="2">595</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Matemática Aplicada</subfield>
    <subfield code="c">Área Matemática Aplicada</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">472 (2024), 134510 [17 pp.]</subfield>
    <subfield code="p">Physica, D</subfield>
    <subfield code="t">PHYSICA D-NONLINEAR PHENOMENA</subfield>
    <subfield code="x">0167-2789</subfield>
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