한국항해학회지 (Journal of the Korean Institute of Navigation)
- 제21권4호
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- Pages.21-28
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- 1997
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- 1225-0481(pISSN)
인공신경망에 의한 선박의 자동접안에 관한 연구
A Study on the Automatic Berthing Control of a Ship by Artificical Neural Network
-
이승건
(부산대학교 조선해양공학과, 부산대학교 기계기술연구소 연구원) ;
-
이경우
(목포해양대학교 해양 및 조선공학부) ;
- 이승재 (부산대학교 대학원 조선공학과) ;
- 정성룡 (부산대학교 대학원 조선공학과)
-
Lee, Seung-Keon
;
-
Lee, Gyoung-Woo
;
- Lee, Seong-Jae ;
- Jeong, Sung-Ryong
- 발행 : 1997.12.01
초록
Along with the rapid growth of shipping and transportation , the size of a ship larger and larger. Low speed maneuverabililty of a full ship has been received a great deal of attention concerting about the navigation safety, especially in the harbour area of waterway. And, the iperation of the full ship in harbour area is one fo tehmost difficult technique. Usually highly experienced experts can make a suitable decision considering various propeller ,rudder actions and environmental conditions. The Artificial Neural Network is applied to the automatic berthing control of a ship. The teaching data are made by the berthing simulation of a ship on the computer. And, the layer neural network is used and the 'Error Back-Propagation Algorithm' is used to teach the neural network. Finally, it is shown that the berthing control is successfully done by the established neural network.
키워드