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多目标优化方法在机器学习中的应用简述
引用本文:郑秀莲.多目标优化方法在机器学习中的应用简述[J].河北能源职业技术学院学报,2012(3):84-85,89.
作者姓名:郑秀莲
作者单位:泰州机电高等职业技术学校
摘    要:文章概述了多目标优化方法解决机器学习问题的现状,重点对基于Pareto的多目标优化方法进行分析,通过有监督学习中的分类问题和无监督学习中的聚类问题,表明使用基于Pareto多目标优化方法解决机器学习问题的优点,得到对所解决问题的更深的认识。

关 键 词:多目标优化  有监督学习  无监督学习

The Application of Multi-objective Optimization Method in Machine Learning
ZHENG Xiu-lian.The Application of Multi-objective Optimization Method in Machine Learning[J].Journal of Hebei Energy Institute of Vocation and Technology,2012(3):84-85,89.
Authors:ZHENG Xiu-lian
Institution:ZHENG Xiu-lian(Taizhou Vocational School of Mechanical & Electrical Technology,Taizhou Jiangsu 225300)
Abstract:The article provides an overview of the use of multi-objective optimization methods to solve machine learning problems,focusing on the multi objective optimization method based on Pareto,through the analysis of specific examples,including the classification problem in supervised learning and the clustering problem in unsupervised learning.The author introduces the advantage of the use of multi-objective optimization method based on Pareto to solve machine learning problems,and the users can get to the deeper understanding of problem solving.
Keywords:multi-objective optimization  supervised learning  unsupervised learning
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