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  <titleInfo>
    <title>Artificial neural network training and software implementation techniques</title>
  </titleInfo>
  <name type="personal">
    <namePart>Kattan, Ali.</namePart>
    <role>
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  </name>
  <name type="personal">
    <namePart>Abdullah, Rosni.</namePart>
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  <name type="personal">
    <namePart>Geem, Zong Woo.</namePart>
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  <originInfo>
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    <place>
      <placeTerm type="text">Hauppauge, N.Y</placeTerm>
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    <publisher>Nova Science Publishers</publisher>
    <dateIssued>c2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>58 p. : ill. ; 22 cm.</extent>
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  <tableOfContents>Feed-forward neural networks -- FFANN software simulation -- FFANN training concept -- Trajectory-driven training paradigm -- Evolutionary-based training paradigm -- FFANN simulation utilizing graphic-processing units.</tableOfContents>
  <note type="statement of responsibility">Ali Kattan, Rosni Abdullah, and Zong Woo Geem.</note>
  <note>Includes bibliographical references (p.[43]-53) and index.</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <classification authority="lcc">QA76.87 .K396 2011</classification>
  <classification authority="ddc" edition="22">006.32 KAA</classification>
  <relatedItem type="series">
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      <title>Computer networks</title>
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  <identifier type="isbn">9781611229905 (softcover)</identifier>
  <identifier type="lccn">2011003231</identifier>
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