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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/iccsa/LeeYYLO06,
  title =        "Data Analysis and Utilization Method Based on Genetic
                 Programming in Ship Design",
  author =       "Kyung Ho Lee and Yun Seog Yeun and Young Soon Yang and 
                 Jang Hyun Lee and June Oh",
  booktitle =    "Computational Science and Its Applications - ICCSA
                 2006, Part {II}",
  publisher =    "Springer",
  year =         "2006",
  volume =       "3981",
  editor =       "Marina L. Gavrilova and Osvaldo Gervasi and 
                 Vipin Kumar and Chih Jeng Kenneth Tan and David Taniar and 
                 Antonio Lagan{\`a} and Youngsong Mun and 
                 Hyunseung Choo",
  pages =        "1199--1209",
  series =       "Lecture Notes in Computer Science",
  address =      "Glasgow, {UK}",
  month =        may # " 8-11",
  bibdate =      "2006-05-17",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/iccsa/iccsa2006-2.html#LeeYYLO06",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-34072-6",
  DOI =          "doi:10.1007/11751588_127",
  size =         "11 pages",
  abstract =     "Although Korean shipyards have accumulated a great
                 amount of data, they do not have appropriate tools to
                 use 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.",
}

Genetic Programming entries for Kyung Ho Lee Yun Seog Yeun Young-Soon Yang Jang Hyun Lee Jong Hoon Park

Citations