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博士論文

レーザー誘導破壊分光法を用いた水中で計測した熱水海底岩石の分類のための機械学習アルゴリズムの検討と統計解析

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DOI[10.18997/00007213]to the data of the same series

レーザー誘導破壊分光法を用いた水中で計測した熱水海底岩石の分類のための機械学習アルゴリズムの検討と統計解析

Persistent ID (NDL)
info:ndljp/pid/11300864
Material type
博士論文
Author
Yelameli, Mallikarjun Rajendrakumar
Publisher
-
Publication date
2019-03-25
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士（工学）
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1 Introduction2 Machine Learning Models for Classification3 Result and Discussion...

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The aim is to study the use of machine learning algorithms for the classification hydrothermal seafloor rocks measured underwater using Laser-Induced ...

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Provided by：国立国会図書館デジタルコレクションLink to Help Page

  • 2023-08-05 再収集

  • 2023-10-11 再収集

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Digital

Material Type
博士論文
Title
レーザー誘導破壊分光法を用いた水中で計測した熱水海底岩石の分類のための機械学習アルゴリズムの検討と統計解析
Author/Editor
Yelameli, Mallikarjun Rajendrakumar
Author Heading
Yelameli, Mallikarjun Rajendrakumar
Publication Date
2019-03-25
Publication Date (W3CDTF)
2019-03-25
Alternative Title
Study on Machine Learning Algorithms and Statistical Analysis for Classification of Hydrothermal Seafloor Rocks Measured Underwater Using Laser-Induced Breakdown Spectroscopy
Contributor
石井, 和男
Degree grantor/type
九州工業大学
Date Granted
2019-03-25