基于ARTⅡ网络的煤炭资源资产分类研究  

The Study on the Classification of Coal Resources Assets Based on ARTⅡ Networks

作　　者：温国锋[1] 王广成[1] 

机构地区：[1]中国煤炭经济学院管理科学与工程系,山东烟台264005

出　　处：《中国管理科学》2003年第1期77-80,共4页Chinese Journal of Management Science

基　　金：山东省自然科学基金资助项目[Q99G14]

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。The ARTⅡ neural networks applied to classify assets of coal resources are built in this paperThe 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 givenRemarkable success has been achieved in training the networks to learn the patterns and in classifying the coal resources assetsOur results show that the ARTⅡ network approach for classification has some advantages such as stability and reliability

关 键 词：ARTⅡ神经网络模型 模糊分类模型 煤炭资源资产分类 算法 

分 类 号：F205[经济管理—国民经济]