| 基于粗集和神经网络的煤炭资源资产分类研究 |
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| 引用本文： | 温国锋,陈立文.基于粗集和神经网络的煤炭资源资产分类研究[J].数学的实践与认识,2010,40(3). |
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| 作者姓名： | 温国锋 陈立文 |
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| 作者单位： | 1. 河北工业大学管理学院,天津300130;山东工商学院管理科学与工程学院,山东烟台264005
2. 河北工业大学管理学院,天津,300130 |
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| 基金项目： | 国家安全生产监督管理总局安全生产科技发展指导性计划项目(07-379); 建设部科技研究项目(2008-K9-51) |
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| 摘 要： | 准确的煤炭资源资产分类是有效进行煤炭资源资产管理的前提和基础.针对现有分类方法存在的不足,提出了基于人工神经网络(ANN)与粗集理论(RS)的煤炭资源资产分类方法.首先,由资产分类的样本数据形成决策表,使用专家离散法对数据进行离散处理;然后,采用遗传算法(GA)对决策表进行属性约简;最后根据约简后的属性集构建起煤炭资源资产分类的神经网络模型.实例运行表明,所提出的模型方法比单纯的ANN方法在学习效率和分类准确率方面均有所提高.
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| 关 键 词： | 煤炭资源资产分类 粗集 属性约简 神经网络 遗传算法 |
The Study on the Classification of Coal Resources Assets Based on Rough Sets and ANN |
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| WEN Guo-feng,CHEN Li-wen.The Study on the Classification of Coal Resources Assets Based on Rough Sets and ANN[J].Mathematics in Practice and Theory,2010,40(3). |
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| Authors: | WEN Guo-feng CHEN Li-wen |
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| Institution: | WEN Guo-feng~(1,2),CHEN Li-wen~1 (1.School of Management,Hebei University of Technology,Tianjin 300130,China) (2.School of Management Science , Engineering,Sh,ong Institute of Business , Technology,Yantai 264005,China) |
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| Abstract: | The evaluation of coal resources assets is the important and basic work to carry out asset style management of coal resources,and the reliability of classification of coal resource assets is the precondition to complete the work effectively.In this paper,Artificial Neural Networks and Rough Sets theory were integrated to solve the classification problem.The decision table is formed according to the data of the samples,Experts discrete method is used to discrete the values of the attributes,GA arithmetic is ... |
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| Keywords: | coal resource assets classification rough sets attribute reduction artificial neural networks genetic algorithm |
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