Volume number(25):2017.11
Deep Learn...

Deep Learningを用いた船舶の推進性能推定と船型最適化に関する研究

Icons representing 記事

Deep Learningを用いた船舶の推進性能推定と船型最適化に関する研究

Call No. (NDL)
YH247-1042
Bibliographic ID of National Diet Library
029136718
Material type
記事
Author
羽生 一成ほか
Publisher
[東京] : 日本船舶海洋工学会
Publication date
2017-11
Material Format
Recording Media
Journal name
日本船舶海洋工学会講演会論文集 Conference proceedings, the Japan Society of Naval Architects and Ocean Engineers (25):2017.11
Publication Page
p.627-632
View All

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

  • CiNii Research

    Search Service
    You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Recording Media

Material Type
記事
Author/Editor
羽生 一成
江上 智晃
Alternative Title
Study on Estimation of Propulsive Performance using Deep Learning and Ship Hull Form Optimization
Periodical title
日本船舶海洋工学会講演会論文集 Conference proceedings, the Japan Society of Naval Architects and Ocean Engineers
No. or year of volume/issue
(25):2017.11
Issue
25
Pages
627-632
Publication date of volume/issue (W3CDTF)
2017-11