| 基于ARTⅡ网络的煤炭资源资产分类研究 |
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| 引用本文： | 温国锋,王广成.基于ARTⅡ网络的煤炭资源资产分类研究[J].中国管理科学,2003,11(1):77-80. |
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| 作者姓名： | 温国锋 王广成 |
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| 作者单位： | 中国煤炭经济学院管理科学与工程系 山东 烟台 264005 |
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| 基金项目： | 山东省自然科学基金资助项目[Q99G14] |
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| 摘 要： | 本文建立了用于煤炭资源资产分类的ARTⅡ神经网络模型,编制了相应的计算机和软件,并将ARTⅡ模型与模糊分类模型和基于BP网络的分类模型进行了对比分析,实例运行结果表明,用ARTⅡ网络进行分类具有分类稳定、结果可靠等特点。
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| 关 键 词： | 煤炭资源资产 分类 ARTⅡ网络(自适应共振理论网络) |
| 文章编号： | 1003-207(2003)01-0077-04 |
| 收稿时间： | 2002-02-05; |
| 修稿时间： | 2002年2月5日 |
The Study on the Classification of Coal Resources Assets Based on ARTⅡ Networks |
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| WEN Guo-feng,WANG Guang-cheng.The Study on the Classification of Coal Resources Assets Based on ARTⅡ Networks[J].Chinese Journal of Management Science,2003,11(1):77-80. |
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| Authors: | WEN Guo-feng WANG Guang-cheng |
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| Institution: | Engineering Dept., China Coal Economic College, Yantai 264005, China |
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| Abstract: | The ARTⅡ neural networks applied to classify assets of coal resources are built in this paperThe classification results by the Fuzzy Synthetic Judgement models based on cluster being as the base for choosing the patterns,self-organizing networks model to classify is givenRemarkable success has been achieved in training the networks to learn the patterns and in classifying the coal resources assetsOur results show that the ARTⅡ network approach for classification has some advantages such as stability and reliability. |
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| Keywords: | coal resources assets classification ARTⅡ networks |
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