The data mining of time-series of flow supply chain based on time-delayed NNET

被引：0
|
作者：
Peng, C [1 ]
Yue, D [1 ]
Xu, SF [1 ]
机构：
[1] Nan Jing Normal Univ, Dept Control Theory & Engn, Nanjing, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
time-delayed NNET; flow supply chain; data mining; knowledge chain;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, aiming at the 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 NN is applied. In the premise of integration of the network data, the program of Visual Basic is used to distilling data and VB engine is cited, NNET tools of MATLAB are utilized to finding the pattern of time-series, forecasting the rules of data, supervising the optimizing operation of supply chain.
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页码：2016 / 2020
页数：5
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