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

机译:基于遗传规划的船舶设计数据分析与利用方法

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摘要

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.
机译:尽管韩国造船厂已经积累了大量数据,但它们没有合适的工具在实际工作中利用这些数据。工程数据包含专家的经验和专业知识。数据挖掘技术可用于从累积的现有数据中提取知识或信息。本文提出了一种基于遗传编程(GP)的机器学习方法,该方法可以作为实现数据挖掘的组成部分之一。当给定的学习样本不足时,本文讨论了用于回归或逼近问题的GP线性模型。

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