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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lee, K.H., Yeun, Y.S., Yang, Y.S., Lee, J.H., Oh, J. (2006). Data Analysis and Utilization Method Based on Genetic Programming in Ship Design. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_127
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DOI: https://doi.org/10.1007/11751588_127
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34072-0
Online ISBN: 978-3-540-34074-4
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