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Data Analysis and Utilization Method Based on Genetic Programming in Ship Design

  • Kyung Ho Lee
  • Yun Seog Yeun
  • Young Soon Yang
  • Jang Hyun Lee
  • June Oh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3981)

Abstract

Although Korean shipyards have accumulated a great amount of data, they do not have appropriate tools to utilize the data in practical works. Engineering data contains the experiences and know-how of experts. Data mining technique is useful to extract knowledge or information from the accumulated existing data. This paper presents a machine learning method based on genetic programming (GP), which can be one of the components for the realization of data mining. The paper deals with linear models of GP for regression or approximation problems when the given learning samples are not sufficient.

Keywords

Genetic Programming Minimum Description Length Learning Sample Principal Dimension Ship Design 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kyung Ho Lee
    • 1
  • Yun Seog Yeun
    • 2
  • Young Soon Yang
    • 3
  • Jang Hyun Lee
    • 1
  • June Oh
    • 1
  1. 1.Department of Naval Architect & Ocean, EngineeringInha UniversityInchonKorea
  2. 2.Department of Mechanical Design EngineeringDaejin UniversityPocheon, Kyonggi-doKorea
  3. 3.Department of Naval, Architecture & Ocean EngineeringSeoul National UniversitySeoulKorea

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