博士論文

人工ニューラルネットワークを用いたRC橋台の温度ひび割れの最大ひび割れ幅の予測と影響要因の分析

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人工ニューラルネットワークを用いたRC橋台の温度ひび割れの最大ひび割れ幅の予測と影響要因の分析

Persistent ID (NDL)
info:ndljp/pid/11401231
Material type
博士論文
Author
Rasul, Mehboob
Publisher
-
Publication date
2019-09-13
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
横浜国立大学,博士(工学)
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  • 2023-09-02 再収集

  • 2023-09-02 再収集

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Digital

Material Type
博士論文
Author/Editor
Rasul, Mehboob
Author Heading
Publication Date
2019-09-13
Publication Date (W3CDTF)
2019-09-13
Alternative Title
Prediction of maximum thermal crack width in RC abutments and investigation on influential factors using artificial neural networks
Degree grantor/type
横浜国立大学
Date Granted
2019-09-13
Date Granted (W3CDTF)
2019-09-13