【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。更多还原

【Abstract】 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更多还原