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First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06)
Intelligent Scheduling of Failure-Prone FMS Using Neural Network
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Yaguang Kong, Siyu Guo, Jianzhong Wang, "Intelligent Scheduling of Failure-Prone FMS Using Neural Network," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 259-262, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.465,
author = {Yaguang Kong and Siyu Guo and Jianzhong Wang},
title = {Intelligent Scheduling of Failure-Prone FMS Using Neural Network},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2616-0},
pages = {259-262},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.465},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Intelligent Scheduling of Failure-Prone FMS Using Neural Network
SN - 0-7695-2616-0
SP259
EP262
A1 - Yaguang Kong,
A1 - Siyu Guo,
A1 - Jianzhong Wang,
PY - 2006
KW - null
VL - 3
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Yaguang Kong, Hangzhou Dianzi University, China
Siyu Guo, Hunan University, China
Jianzhong Wang, Hangzhou Dianzi University, China
A failure-prone flexible manufacturing system with random part processing time and random product demand is considered. The scheduling policy is derived by formulating the process as a discrete-state Markovian decision process using unification technique. This Paper investigates the development of a neural network architecture for candidate rule selection for such FMS procedure.
Citation:
Yaguang Kong, Siyu Guo, Jianzhong Wang, "Intelligent Scheduling of Failure-Prone FMS Using Neural Network," icicic, vol. 3, pp.259-262, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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