| 基于粗糙集-神经网络的产业集群生命周期识别 |
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| 引用本文： | 王德鲁,宋学锋.基于粗糙集-神经网络的产业集群生命周期识别[J].中国矿业大学学报,2010,39(2). |
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| 作者姓名： | 王德鲁 宋学锋 |
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| 作者单位： | 中国矿业大学管理学院,江苏,徐州,221116 |
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| 基金项目： | 新世纪优秀人才支持计划，江苏省社会科学基金，中国矿业大学青年科研基金 |
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| 摘 要： | 将粗糙集理论与神经网络相结合,构建了基于粗糙集-径向基(RBF)神经网络集成的产业集群生命周期识别模型.该模型运用基于MDV(maximum discernibility value)函数与信息熵的模糊聚类算法进行连续属性离散化处理,采用粗糙集理论约简出重要指标体系,将训练样本输入RBF神经网络进行学习和训练,进而对检验样本的生命周期阶段进行判断.对我国138组产业集群样本数据的分析结果表明:基于MDV函数与信息熵的模糊聚类算法能够有效改善离散化效果,且该模型对检验样本的总体预测精度达到82.61%,从而证实了该识别模型的有效性和实用性.
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| 关 键 词： | 粗糙集 RBF神经网络 产业集群 生命周期 识别模型 |
Identification of Industry Clusters Life Cycle Based on Integration of Rough Sets and Neural Network |
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| WANG De-lu,SONG Xue-feng.Identification of Industry Clusters Life Cycle Based on Integration of Rough Sets and Neural Network[J].Journal of China University of Mining & Technology,2010,39(2). |
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| Authors: | WANG De-lu SONG Xue-feng |
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| Affiliation: | WANG De-lu,SONG Xue-feng(School of Management,China University of Mining & Technology,Xuzhou,Jiangsu 221116,China) |
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| Abstract: | Based on the integration of rough sets and neural network a model was constructed to identify the industry clusters life cycle. Firstly,the continuous attribute values were discretized using fuzzy clustering algorithm based on maximum discernibility value (MDV) function and information entropy. And then the attributes were reduced by rough sets. At last,taking 138 industry clusters as samples the RBF neural network was trained with training samples and the model was used to identify the life cycle of the te... |
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| Keywords: | rough sets RBF neural network industry clusters life cycle identifying model |
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