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  <titleInfo>
    <title>Seismic signals model in Agusan del Sur through symbolic regression with genetic programming</title>
    <subTitle>a stochastic dynamical system approach</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Gorres-Abato, Teotima Evangelista</namePart>
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      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <place>
      <placeTerm type="text">s.l</placeTerm>
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    <publisher>Journal of Emerging Technologies and Innovative Research</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>continuing</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>Abstract : Earthquake magnitude is the energy released by the earth when there is a movement of plate in the core while seismic signal in the intensity of the energy release by the plate. Symbolic regression (SR) is another type of regression analysis uses a stochastic process for finding the models from the space (phase or state space) of a topological dynamical system and the law of evolution of such functions or models in a dynamical system. It is an evolutionary algorithm aimed to recapitulate a set of measures in an n- dimensional space, used to describe the relationship of measurable functions (sets of functions or distributions) in a pre - defined rules. The study introduce an innovative seismic signal model of Agusan del Sur.</abstract>
  <note type="statement of responsibility">Teotima Evangelista Gorres-Abato.</note>
  <subject>
    <topic>Seismic signals model</topic>
    <geographic>Agusan del Sur</geographic>
  </subject>
  <subject>
    <topic>Earthquake seismic signals</topic>
  </subject>
  <subject>
    <topic>Earthquake symbolic regression</topic>
  </subject>
  <subject>
    <topic>Earthquake genetic programming</topic>
  </subject>
  <subject>
    <topic>Stochastic dynamical system</topic>
  </subject>
  <subject>
    <topic>Topological dynamic system</topic>
  </subject>
  <subject>
    <topic>Research</topic>
  </subject>
  <subject>
    <topic>Quantitative research</topic>
  </subject>
  <subject>
    <topic>Journal articles (Open access)</topic>
  </subject>
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      <title>Journal of Emerging Technologies and Innovative Research</title>
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      <text>, volume 8, issue 6 (June 2025).</text>
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  <identifier type="issn">2349-5162</identifier>
  <identifier type="uri">https://www.jetir.org/view?paper=JETIR2106201</identifier>
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    <url>https://www.jetir.org/view?paper=JETIR2106201</url>
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