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博士論文

単層カーボンナノチューブ/ポルフィリン-ポリ酸ランダムネットワークを用いたマテリアルリザバー演算素子 —次世代機械知能への新規アプローチ

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単層カーボンナノチューブ/ポルフィリン-ポリ酸ランダムネットワークを用いたマテリアルリザバー演算素子 —次世代機械知能への新規アプローチ

Persistent ID (NDL)
info:ndljp/pid/12263368
Material type
博士論文
Author
Deep, Banerjee
Publisher
-
Publication date
2021-12-27
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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Notes on use

Note (General):

九州工業大学博士学位論文 学位記番号:生工博甲第425号 学位授与年月日:令和3年12月27日令和3年度

Detailed bibliographic record

Summary, etc.:

In a layman’s term, computation is defined as the execution of a given instruction through a programmable algorithm. History has it that starting from...

Table of Contents

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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Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
Deep, Banerjee
Author Heading
Publication Date
2021-12-27
Publication Date (W3CDTF)
2021-12-27
Alternative Title
In-materio reservoir computing with single-walled carbon nanotube/porphyrin-polyoxometalate random network —A novel approach for next-generation machine intelligence
Contributor
田中, 啓文
Degree grantor/type
九州工業大学
Date Granted
2021-12-27