Preliminary Hull Form Design Using Form Parameter Method and Neural Networks

J. Ocean Eng. Technol. 1999;13(4):174-181.

Park, Won;Shin, Sung-Chul;Kim, Soo-Young;Jang, Hyeon-Jae;

Form Parameter 방법과 신경망을 이용한 초기 선형 설계

박원;신성철;김수영;장현재;

부산대학교 조선.해양공학과 대학원;부산대학교 조선.해양공학과 대학원;부산대학교 조선.해양공학과(생산기술연구소);선박검사기술협회;

Keywords: Form Parameter, Neural Networks, Hull Form

핵심용어: 형상 계수, 신경망, 선형

Abstract

A form parameter method compounds the form parameters which define the hull geometric characteristics. This method can transform a hull form by changing the form parameters. The form parameter method is a hull define method without utilization of mother ships. However it is difficult to determine these form parameters. Thus, we are complemented the form parameter method using the neural networks. It is found that the form parameter method using the neural networks is efficient in hull form design by consideration of application examples.