U sing Artificial Intelligence in the Configuration Design of a High-Speed Train |
이장용
(한국생산기술연구원)
한순흥 (한국과학기술원) |
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Maximum Adhesive Force Control in Super High Speed Train
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An Abstraction-based Methodology for Mechanical Configuration Design
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Optimal Formation of Trainset
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Machine Learning in Configuration Design
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Abstraction as a Configuration Design Methodology
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기능 분해와 TRIZ 이론을 이용한 철도 대차의 구성설계
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인공지능에 기반한 단계적 의사결정 방법: 베어링 설계에의 적용
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과학기술학회마을 |
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Evaluation of Advantages of High-speed EMU in Case of Series 700 Shinkansen High-speed Train with IGBT Applied Traction Systems
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급지기구설계 전문가시스템에서 구성설계 방법론
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An Object-oriented Configuration Design Method for Paper Feeding Mechanisms
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