Art
J-GLOBAL ID:202102290739164240   Reference number:21A0253222

Prediction of Computational Fluid Dynamics Results using Convolutional LSTM

Convolutional LSTM を用いた数値流体解析結果の予測
Author (3):
Material:
Volume: 2020  Issue:Page: 20201006(J-STAGE)  Publication year: 2020 
JST Material Number: U0063A  ISSN: 1347-8826  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

JST classification (3):
JST classification
Category name(code) classified by JST.
Numerical computation  ,  Artificial intelligence  ,  Fluid dynamics in general 
Reference (9):
more...
Terms in the title (3):
Terms in the title
Keywords automatically extracted from the title.

Return to Previous Page