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  <titleInfo>
    <nonSort>An </nonSort>
    <title>integrated approach to modeling and optimization in engineering and science</title>
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  <name type="personal">
    <namePart>Savran, Melih</namePart>
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  <name type="personal">
    <namePart>Aydin, Levent</namePart>
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    <dateIssued encoding="marc">2025</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>"An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, and optimization processes for solving many different problems. The experimental design method, Central Composite, Full Factorial, Taguchi, Box Behnken, and D Optimal methods are used, and the effects of the data sets obtained by these methods on mathematical modeling are investigated. This book will help graduates and senior undergraduates in courses on experimental design, modeling, optimization, and interdisciplinary engineering studies. It would also be of interest to R and D engineers and professionals working in scientific institutions based on design, modeling, and optimization"--</abstract>
  <tableOfContents>Design of experiment, mathematical modeling, and optimization -- Comparison of ANN and neuro regression methods in mathematical modeling -- Evaluation of R2 as model assessment criteria -- Questioning the adequacy of using polynomial structures -- The effect of using the Taguchi method in experimental design on mathematical modeling -- Comparison of different test and validation methods used in mathematical modeling -- Comparison of different model assessment criteria used in mathematical modeling -- Comparison of the effects of experimental design methods on mathematical modeling -- Special functions in mathematical modeling.</tableOfContents>
  <note type="statement of responsibility">Melih Savran and Levent Aydin.</note>
  <subject authority="lcsh">
    <topic>Experimental design</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Engineering</topic>
    <topic>Mathematical models</topic>
  </subject>
  <classification authority="lcc">T57.37</classification>
  <identifier type="isbn">9781003494843</identifier>
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  <identifier type="isbn">104025683X</identifier>
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