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        <identifier>oai:fut.repo.nii.ac.jp:00000010</identifier>
        <datestamp>2023-06-20T14:09:17Z</datestamp>
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          <dc:title>呼吸モデルの構造決定に関する研究</dc:title>
          <dc:title>Study on structure determination of the respiratory model</dc:title>
          <dc:creator>中村, 隆之</dc:creator>
          <dc:creator>36</dc:creator>
          <dc:creator>金江, 春植</dc:creator>
          <dc:creator>37</dc:creator>
          <dc:creator>魚崎, 勝司</dc:creator>
          <dc:creator>38</dc:creator>
          <dc:creator>Nakamura, Takayuki</dc:creator>
          <dc:creator>39</dc:creator>
          <dc:creator>Kanae, Shunshoku</dc:creator>
          <dc:creator>40</dc:creator>
          <dc:creator>Uosaki, Katsuji</dc:creator>
          <dc:creator>41</dc:creator>
          <dc:subject>Genetic algorithm</dc:subject>
          <dc:subject>Estimation</dc:subject>
          <dc:subject>Respiratory system</dc:subject>
          <dc:subject>Elastance</dc:subject>
          <dc:subject>Structure determination</dc:subject>
          <dc:subject>Polynomial model</dc:subject>
          <dc:description>The characteristics of the lungs of the person are different each other. When we use a respirator, it is necessary to set the ventilation condition of the respirator to fit the characteristic of the lung. However, the appropriate setting method of the ventilation condition is not yet established, and it is decided roughly by the experience of the doctor based on the weight of the patient. The purpose of this study is deciding the structure of the polynomial expression model of the breathing system using GA (genetic algorithm), and estimate the static P-V curve.</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>福井工業大学</dc:publisher>
          <dc:date>2012-07-30</dc:date>
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          <dc:identifier>福井工業大学研究紀要</dc:identifier>
          <dc:identifier>42</dc:identifier>
          <dc:identifier>84</dc:identifier>
          <dc:identifier>89</dc:identifier>
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          <dc:identifier>https://doi.org/10.57375/00000004</dc:identifier>
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          <dc:relation>TF00008475</dc:relation>
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