한국해양공학회지 (Journal of Ocean Engineering and Technology)

  • 제20권5호
  • /
  • Pages.70-76
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  • 2006
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  • 1225-0767(pISSN)
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  • 2287-6715(eISSN)
한국해양공학회 (Korean Society of Ocean Engineers)
권호 표지

확률신경망을 이용한 방파제 피복재 설계

Estimation of the Stability Number of Breakwater Armor Blocks Using Probabilistic Neural Networks

  • 김두기 (군산대학교 토목환경공학부) ;
  • 김동현 (군산대학교 해양시스템공학과) ;
  • 장성규 (군산대학교 토목환경공학부) ;
  • 장상길 (군산대학교 토목환경공학부)
  • Kim, Doo-Kie (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Kim, Dong-Hyawn (Department of Ocean System Engineering, Kunsan National University) ;
  • Chang, Seong-Kyu (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Chang, Sang-Kil (Department of Civil and Environmental Engineering, Kunsan National University)
  • 발행 : 2006.10.31
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초록

A Probabilistic neural network (PNN) technique for predicting the stability number for the armor blocks of breakwaters is presented. A PNN is prepared using the experimental data of van der Meer and is then compared with the empirical formula and previous artificial neural network (ANN) model. This comparison shows that a PNN can effectively predict the stability numbers in spite of data complexity, incompleteness, and incoherence, and can be an effective tool for the designers of rubble mound breakwaters to support their decision process and to improve design efficiency.

키워드

참고문헌

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