Machine Learning Driving the Future of Engineering
機械学習技術が拓く次世代エンジニアリング
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20264546
- Paper/Info type
- Journal of Society of Automotive Engineers of Japan
Vol.80 No.9
- Pages
- 18-25(Total 8 p)
- Date of publication
- Sep 2026
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | AIを活用した振動・騒音設計技術 Translation |
|---|---|
| Category(E) | AI-based Noise and Vibration Design Technology |
| Author(J) | 1) 海老澤 弘道 |
| Author(E) | 1) Hiromichi Ebisawa |
| Affiliation(J) | 1) エステック |
| Abstract(J) | 機械学習技術は工学的技術と組み合わせることで、従来解決が難しかった問題の解決や飛躍的なアプローチの実現が期待できます。本稿では、官能構造のモデル化、コンポーネントへの割り付け技術、CAEの効率化、理想とする車両挙動や先進的な制御特性の生成等を対象にエンジニアリングに関する機械学習活用事例を紹介します。 Translation |
| Abstract(E) | Machine learning technology, when integrated with engineering techniques, holds promise for solving problems that were previously difficult challenges and implementing innovative approaches. This paper introduces applications of machine learning, focusing on modeling sensory structures, component cascading down techniques, improving CAE efficiency, generating ideal vehicle behavior and advanced control techniques. |
