earticle

논문검색

<학술연구>

인공신경망을 이용한 계층분석과정 최적 구조 설계

원문정보

AHP-Optimum Structural Design using Neural Network

박창규

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

ABSTRACT
1. 서론
2. 계층분석과정(AHP)
2.1 계층분석과정(AHP)의 특징
2.2 개별비교와 가중치 계산
3. 최적 설계에서 계층분석과정의 이용
3.1 정량적 수치의 정성적 평가
3.2 결합된 선택 타협 문제에서의 속성 평가 방법-인공 신경망의 계층분석과정 모사
4. 인공신경망을 이용한 계층분석과정 최적구조설계 적용 예
4.1 결합된 선택 타협 문제의 최적해
5. 결론
후기 
References

저자정보

  • 박창규 Chang-Kyu Park . Member, Dept. of Automotive Engineering, Gwangju Universityju University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.