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  <titleInfo>
    <title>Application of artificial neural networks in preliminary design of 2-D steel frames</title>
  </titleInfo>
  <name type="personal">
    <namePart>Rattapoohm Parichatprecha</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Worsak Kanok-Nukulchai</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Pruettha Nanakorn</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Wijeyewickrema, Anil C.</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Institute of Technology Partial Scholarship</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1999</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>63 leaves : ill.</extent>
  </physicalDescription>
  <abstract>This study deals with the application of artificial neural networks in the preliminary design of 2-D steel frames. The preliminary design model is very importance in the synthesis of a finally acceptable solution in design problems. The preliminary process is extremely difficult to computerize because it requires engineering experiences and human intuition. Development of a network for preliminary design process has been reported. The simple characteristics of structural members (Moment, Shear force, Axial force, Length of each member, and type of member) were selected as the input data to the neural network to generate the sufficient areas of each member. Various considerations and the steps in the development of the neural network for preliminary design are illustrated with an example of optimal design of 2-D steel frames.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering,  School of Civil Engineering</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1999</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Steel framing (Building)</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. ST-99-19</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B12773</identifier>
  <location>
    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B12773</url>
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    <recordCreationDate encoding="marc">121099</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817162834.0</recordChangeDate>
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