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基于时延网络的流程供应链时序数据挖掘
引用本文:彭晨,岳东,许世范.基于时延网络的流程供应链时序数据挖掘[J].南京师范大学学报,2002,2(4):34-38.
作者姓名:彭晨  岳东  许世范
作者单位:[1]南京师范大学控制科学与工程系,南京210042 [2]中国矿业大学信息与电气工程学院,徐州221008
基金项目:国家“八六三”资助项目(863—511—9601—1301),教育部资助项目([2002]247).
摘    要:针对连续流程供应链中存在的大量时序数据的知识发现问题,提出了基于信息集成基础上的应用时延神经网络处理时序数据的知识发现方案,解决时序数据膨胀而知识匮乏的问题.在网络数据集成的前提下,采用VB提取数据集市中的综合数据,作为时延神经网络模型的输入序列.利用MATLAB神经网络工具编写知识发现模型来发现时序数据中蕴含的知识,构成知识链并作为供应链优化运行的支撑链.以某选煤厂时序数列分析为例,上述方法在应用中取得较好的效果.

关 键 词:时延神经网络  流程供应链  数据挖掘  知识链
文章编号:1672-1292(2002)04-0034-05
修稿时间:2002年12月16

The Data Mining of Time-Series of Flow Supply Chain Based on Time-Delayed NNET
Peng Chen,Yue Dong,Xu Shifan.The Data Mining of Time-Series of Flow Supply Chain Based on Time-Delayed NNET[J].Journal of Nanjing Nor Univ: Eng and Technol,2002,2(4):34-38.
Authors:Peng Chen  Yue Dong  Xu Shifan
Abstract:Aiming at question of knowledge discovery of the large qualities of time-series data in continuous flow supply chain, the project of KDD based on the integrated information is presented and the time-delayed NNET is applied. The question of abundant data and absent knowledge is resolved in time-series data. In the premise of integration of the network data, visual basic is used to extract data as the input sequence of the model of time-delayed NNET. NNET tools of MATLAB are utilized to compile the model of KDD to find the pattern of time-series, forecast the rules of data, form the knowledge chain and use it as the support chain of optimize operation of supply chain. The above methods have been used successfully to some coal preparation.
Keywords:time-dekyed NNET  flow supply chain  data mining  knowledge chain
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