Generation of Sectional Area Curve using an ANFIS and a B-spline Curve |
Kim, Soo-Young;Kim, Hyun-Cheol;Ryeu, Kyung-Hyun;Kim, Min-Jeong; |
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적응형 회로망의 퍼지 추론과 B-spline 곡선을 이용한 횡단면적 곡선의 생성 |
김수영;김현철;여경현;김민정; |
부산대학교 조선해양공학과/부산대학교 기계기술연구소;부산대학교 조선해양공학과;부산대학교 조선해양공학과;부산대학교 조선해양공학과; |
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© 1998 The Korean Society of Ocean Engineers
Open access / Under a Creative Commons License
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Keywords:
Adaptive Network, Fuzzy Inference System, Sectional Area Curve, Genetic Algorithms, B-spline Approximation |
핵심용어:
적응형회로망, 퍼지추론시스템, 횡단면적곡선, 유전자알고리즘, B-스플라인근사법 |
Abstract |
This paper presents to create a SAC(Sectional Area Curve) using an ANFIS(Adaptive-Network-based Fuzzy Inference System). First, it defines SACs of parent ships by using a B-spline approximation and a genetic algorithm and accumulates a database about SAC's control points. Second, it learns an ANFIS from parent ship data, which are related with principal dimensions and SAC's control points. This process is to model an ANFIS for SAC inferreice. When an ANFIS modeling is completed, we can determine a SAC through an ANFIS inferring. |
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