| 基于粗集理论的机器学习与推理 |
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| 引用本文： | 曾黄麟.基于粗集理论的机器学习与推理[J].控制与决策,1997,12(6):708-711. |
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| 作者姓名： | 曾黄麟 |
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| 作者单位： | 四川轻化工学院!自贡643033 |
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| 基金项目： | 国家教委留学回国人员科研基金资助项目 |
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| 摘 要： | 利用粗集理论探讨机器学习中的几个重要概念及研究方法,提出一种基于祖集理论的推理和学习方法。这种研究方法不仅开拓了一条机器学习的新途径,而且也是从数据中推理决策规则的一种新探索。
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| 关 键 词： | 粗集理论 机器学习 推理决策 |
Machine Learning and Inductive Decision on Rough Sets |
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| Zeng Huanglin.Machine Learning and Inductive Decision on Rough Sets[J].Control and Decision,1997,12(6):708-711. |
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| Authors: | Zeng Huanglin |
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| Affiliation: | Sichuan Institute of Light Industry and Chemical Technology |
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| Abstract: | Based on rough sets , several important concepts in machine learning are discussed, and a new in-ductive studying and algorithm of machine learning are proposed. The methods proposed here are not only a new approach of machine learning , but alos a new kind of investigation on inductive decision. |
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| Keywords: | rough stes machine learning inductive decision |
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