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  <titleInfo>
    <title>Complex-valued neural networks : advances and applications</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hirose, Akira</namePart>
    <namePart type="date">1963-</namePart>
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  <genre authority="">Electronic books.</genre>
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    <publisher>Wiley</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
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    <extent>1 online resource (310 pages).</extent>
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  <abstract>Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron.</abstract>
  <note type="statement of responsibility">edited by Akira Hirose.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
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  <subject>
    <topic>Computer science</topic>
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  <subject>
    <topic>Numbers, Complex</topic>
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    <topic>COMPUTERS</topic>
    <topic>Neural Networks</topic>
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    <topic>Neural networks (Computer science)</topic>
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      <title>Complex-valued neural networks</title>
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      <publisher>[S.l.] : John Wiley &amp; Sons Inc, 2013</publisher>
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    <identifier type="local">(OCoLC)812254892</identifier>
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      <title>IEEE series on computational intelligence</title>
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  <identifier type="isbn">9781118590072</identifier>
  <identifier type="isbn">1118590074</identifier>
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