Title :
The data mining of time-series of flow supply chain based on time-delayed NNET
Author :
Peng, Chen ; Yue, Dong ; Xu, Shi-fan
Author_Institution :
Dept. of Control Theor. & Eng., Nanjing Normal Univ., China
Abstract :
In the paper, aiming at the question of knowledge discovery of the large quantities of time-series data in continuous flow supply chains, the project of KDD based on integrated information is presented and a time-delayed NN is applied. Under the premise of integration of the network data, a Visual Basic program is used to distill data and a VB engine is cited, NNET tools of MATLAB are utilized to find the pattern of time-series, forecasting the rules of data, and supervising the optimal operation of a supply chain.
Keywords :
data mining; forecasting theory; learning (artificial intelligence); neural nets; supply chain management; time series; KDD; VB engine; Visual Basic; continuous flow supply chain; data mining; integrated information; knowledge chain; knowledge discovery; time series; time-delayed NNET; time-delayed neural net; Computer integrated manufacturing; Control theory; Data engineering; Data mining; Knowledge engineering; Marketing and sales; Neural networks; Pattern analysis; Production; Supply chains;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175390
