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

Volume

4

fYear

2002

fDate

4-5 Nov. 2002

Firstpage

2016

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1175390

Filename

1175390