| 基于粗集理论的机器学习与推理 |
| |
| 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 |
| |
| 作者姓名： | 曾黄麟 |
| |
| 作者单位： | 四川轻化工学院!自贡643033 |
| |
| 基金项目： | 国家教委留学回国人员科研基金资助项目 |
| |
| 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。
|
| 关 键 词： | 粗集理论 机器学习 推理决策 |
Machine Learning and Inductive Decision on Rough Sets |
| |
| Zeng Huanglin. Machine Learning and Inductive Decision on Rough Sets[J]. Control and Decision, 1997, 12(6): 708-711 |
| |
| Authors: | Zeng Huanglin |
| |
| Affiliation: | Sichuan Institute of Light Industry and Chemical Technology |
| |
| 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. |
| |
| Keywords: | rough stes machine learning inductive decision |
| 本文献已被 CNKI 维普 等数据库收录！ |
