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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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 June Oh

Citations