KOREASCHOLAR

인공신경망을 이용한 계층분석과정 최적 구조 설계 AHP-Optimum Structural Design using Neural Network

박창규
  • 언어KOR
  • URLhttp://db.koreascholar.com/Article/Detail/432310
한국기계기술학회지 (韓國機械技術學會誌)
제26권 제1호 (2024.02)
pp.1-6
한국기계기술학회 (Korean Society of Mechanical Technology)
초록

Engineering design involves making numerous decisions as the design process. These decisions can be broadly categorized into selection decisions and compromise decisions. The outcomes of these decisions heavily depend on the designer's intentions, highlighting the need to systematically and accurately incorporate the designer's intentions. The Analytic Hierarchy Process (AHP) is a design technique that systematically reflects the designer's intentions by hierarchically analyzing and evaluating ambiguous decision problems. Therefore, in this study, effective optimal structure designs that maximally reflect the designer's intentions were confirmed by introducing AHP (Analytic Hierarchy Process) and Neural Network into the foundational decision-making process of engineering design.

저자
  • 박창규(Dept. of Automotive Engineering, Gwangju Universityju University) | Chang-Kyu Park Corresponding author