Applications of Convolutional Neural Networks for Fluid Flow Analysis
畳み込みニューラルネットワークの流体解析への応用
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20224086
- Paper/Info type
- Symposium Text
No.16-21
- Pages
- 1-4(Total 4 p)
- Date of publication
- Jan 2022
- Publisher
- JSAE
- Language
- Japanese
- Event
- JSAE Symposium 2021
Detailed Information
Author(J) | 1) 深潟 康二 |
---|---|
Author(E) | 1) Koji Fukagata |
Affiliation(J) | 1) 慶應義塾大学 |
Affiliation(E) | 1) Keio University |
Abstract(J) | ここ数年,世界中で機械学習技術を力学系に応用する試みが数多く行われている.筆者のグループでも流体力学の基本的な問題に対して機械学習を応用する試みに精力的に取り組んできた.本講演ではこのうち畳み込みニューラルネットワークの流体解析への応用に関する取り組みのいくつかについて紹介する. Translation |
Abstract(E) | In recent years, many attempts have been made all over the world to apply machine learning technology to fluid mechanics. The author's group has also been energetically working on attempts to apply machine learning to the basic problems of fluid mechanics. In this talk, we will introduce some of the efforts related to the application of convolutional neural networks to fluid flow analysis. |