품질경영학회지 (Journal of Korean Society for Quality Management)

  • 제41권2호
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  • Pages.249-260
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  • 2013
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  • 1229-1889(pISSN)
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  • 2287-9005(eISSN)
한국품질경영학회 (Korean Society for Quality Management)
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신경망 기법을 이용한 새로운 반응함수 추정 방법에 관한 연구

Study on a New Response Function Estimation Method Using Neural Network

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  • 신상문 (동아대학교 산업경영공학과) ;
  • 정우식 (인제대학교 식품생명과학부) ;
  • 김철수 (인제대학교 컴퓨터공학부)
  • Hoang, Thanh-Tra (Department of Systems Management Engineering, Inje University) ;
  • Le, Tuan-Ho (Department of Industrial & Management System Engineering, Dong-A University) ;
  • Shin, Sangmun (Department of Industrial & Management System Engineering, Dong-A University) ;
  • Jeong, Woo-Sik (Department o f Food and Life Science, Inje University) ;
  • Kim, Chul-Soo (Department of Computer Science, Inje University)
  • 투고 : 2013.05.01
  • 심사 : 2013.05.27
  • 발행 : 2013.06.30
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초록

Purpose: The main objective of this paper is to propose an RD method by developing a neural network (NN)-based estimation approach in order to provide an alternative aspect of response surface methodology (RSM). Methods: A specific modeling procedure for integrating NN principles into response function estimations is identified in order to estimate functional relationships between input factors and output responses. Finally, a comparative study based on simulation is performed as verification purposes. Results: This simulation study demonstrates that the proposed NN-based RD method provides better optimal solutions than RSM. Conclusion: The proposed NN-based RD approach can be a potential alternative method to utilize many RD problems in competitive manufacturing nowadays.

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참고문헌

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